Recent studies have highlighted the sensitivity of core-collapse supernovae (CCSNe) models to electron-capture (EC) rates on neutron-rich nuclei near the N = 50 closed-shell region. In this work, we perform a large suite of one-dimensional CCSN simulations for 200 stellar progenitors using recently updated EC rates in this region. For comparison, we repeat the simulations using two previous implementations of EC rates: a microphysical library with parametrized N = 50 rates (LMP), and an older independent-particle approximation (IPA). We follow the simulations through shock revival up to several seconds post-bounce, and show that the EC rates produce a consistent imprint on CCSN properties, often surpassing the role of the progenitor itself. Notable impacts include the timescale of core collapse, the electron fraction and mass of the inner core at bounce, the accretion rate through the shock, the success or failure of revival, and the properties of the central compact remnant. We also compare the observable neutrino signal of the neutronization burst in a DUNE-like detector, and find consistent impacts on the counts and mean energies. Overall, the updated rates result in properties that are intermediate between LMP and IPA, and yet slightly more favorable to explosion than both.

1 aJohnston, Zac1 aWasik, Sheldon1 aTitus, Rachel1 aWarren, MacKenzie, L.1 aO’Connor, Evan, P.1 aZegers, Remco1 aCouch, Sean, M. uhttps://dx.doi.org/10.3847/1538-4357/ac930600381nas a2200109 4500008004100000245005300041210005300094490000700147100002200154700002400176856007100200 2015 eng d00aNumerical Study of High Speed Evaporating Sprays0 aNumerical Study of High Speed Evaporating Sprays0 v701 aJaberi, Farhad, A1 aIrannejad, Abolfazl uhttp://www.sciencedirect.com/science/article/pii/S030193221400234100456nas a2200121 4500008004100000245006000041210006000101260001900161100001700180700002000197700001700217856010000234 2014 eng d00aHigh Fidelity Simulations of Turbulent Spray Combustion0 aHigh Fidelity Simulations of Turbulent Spray Combustion cJune 1-4, 20141 aIrannejad, A1 aBanaeizadeh, A.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/high-fidelity-simulations-turbulent-spray-combustion00401nas a2200109 4500008004100000245006900041210006900110490000700179100001700186700001700203856007100220 2014 eng d00aLarge Eddy Simulation of Turbulent Spray Breakup and Evaporation0 aLarge Eddy Simulation of Turbulent Spray Breakup and Evaporation0 v611 aIrannejad, A1 aJaberi, F.A. uhttp://www.sciencedirect.com/science/article/pii/S030193221400010X00465nas a2200121 4500008004100000245009900041210006900140490000700209100002200216700001100238700001700249856007700266 2014 eng d00aNumerical Investigations of Shock Wave Interactions with a Supersonic Turbulent Boundary Layer0 aNumerical Investigations of Shock Wave Interactions with a Super0 v261 aJammalamadaka, A.1 aLi, Z.1 aJaberi, F.A. uhttp://scitation.aip.org/content/aip/journal/pof2/26/5/10.1063/1.487349500473nas a2200109 4500008004100000245013600041210006900177490000700246100003000253700002200283856005800305 2014 eng d00aSpatially-Explicit Integrated Uncertainty and Sensitivity Analysis of Criteria Weights in Multicriteria Land Suitability Evaluation0 aSpatiallyExplicit Integrated Uncertainty and Sensitivity Analysi0 v571 aLigmann-Zielinskaa, Arika1 aJankowskib, Piotr uhttp://www.geo.msu.edu/~stsa/pubs/EMS2014_reprint.pdf00479nas a2200121 4500008004100000245008100041210006900122490000800191100002000199700001700219700001100236856011000247 2014 eng d00aTwo-Phase Filtered Mass Density Function for LES of Turbulent Reacting Flows0 aTwoPhase Filtered Mass Density Function for LES of Turbulent Rea0 v7601 aBanaeizadeh, A.1 aJaberi, F.A.1 aLi, Z. uhttp://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9402098&fileId=S002211201400573400370nas a2200109 4500008004100000245005900041210005900100260001200159490000700171100001400178856006800192 2013 eng d00aAccuracy of the new pairing theory and its improvement0 aAccuracy of the new pairing theory and its improvement c12/20130 v881 aJia, L.Y. uhttp://journals.aps.org/prc/abstract/10.1103/PhysRevC.88.06432101273nas a2200433 4500008004100000245006800041210006600109260001200175490000800187653001300195653002800208653001900236653001300255653001500268100001300283700001600296700002300312700001600335700001500351700001800366700001900384700002100403700002100424700002000445700001600465700001400481700002700495700001800522700002000540700002300560700001900583700002200602700002500624700002200649700001800671700002300689700001800712856010900730 2013 eng d00aCLASH: Three Strongly Lensed Images of a Candidate z 11 Galaxy0 aCLASH Three Strongly Lensed Images of a Candidate z 11 Galaxy c01/20130 v76210aclusters10adistances and redshifts10aearly universe10agalaxies10aindividual1 aCoe, Dan1 aZitrin, Adi1 aCarrasco, Mauricio1 aShu, Xinwen1 aZheng, Wei1 aPostman, Marc1 aBradley, Larry1 aKoekemoer, Anton1 aBouwens, Rychard1 aBroadhurst, Tom1 aMonna, Anna1 aHost, Ole1 aMoustakas, Leonidas, A1 aFord, Holland1 aMoustakas, John1 avan der Wel, Arjen1 aDonahue, Megan1 aRodney, Steven, A1 aBen{\'ıtez, Narciso1 aJouvel, Stephanie1 aSeitz, Stella1 aKelson, Daniel, D.1 aRosati, Piero uhttps://icer.msu.edu/research/publications/clash-three-strongly-lensed-images-candidate-z%C2%A011-galaxy01262nas a2200433 4500008004100000245006700041210006500108260001200173490000800185653001300193653002800206653001900234653001300253653001500266100001300281700001600294700002300310700001600333700001500349700001800364700001900382700002100401700002100422700002000443700001600463700001400479700002700493700001800520700002000538700002300558700001900581700002200600700002200622700002200644700001800666700002300684700001800707856010300725 2013 eng d00aCLASH: Three Strongly Lensed Images of a Candidate z~11 Galaxy0 aCLASH Three Strongly Lensed Images of a Candidate z11 Galaxy c01/20130 v76210aclusters10adistances and redshifts10aearly universe10agalaxies10aindividual1 aCoe, Dan1 aZitrin, Adi1 aCarrasco, Mauricio1 aShu, Xinwen1 aZheng, Wei1 aPostman, Marc1 aBradley, Larry1 aKoekemoer, Anton1 aBouwens, Rychard1 aBroadhurst, Tom1 aMonna, Anna1 aHost, Ole1 aMoustakas, Leonidas, A1 aFord, Holland1 aMoustakas, John1 avan der Wel, Arjen1 aDonahue, Megan1 aRodney, Steven, A1 aBenítez, Narciso1 aJouvel, Stephanie1 aSeitz, Stella1 aKelson, Daniel, D.1 aRosati, Piero uhttps://icer.msu.edu/research/publications/clash-three-strongly-lensed-images-candidate-z11-galaxy01528nas a2200121 4500008004100000245007900041210006900120260004200189520109200231100002401323700001901347856004001366 2013 eng d00aLarge Eddy Simulation of Evaporating Spray with a Stochastic Breakup Model0 aLarge Eddy Simulation of Evaporating Spray with a Stochastic Bre aWarrendale, {PA}b{SAE} International3 aLarge Eddy Simulations of atomization and evaporation of liquid fuel sprays in diesel engine conditions are performed with stochastic breakup and non-equilibrium droplet heat and mass transfer models. The size and number density of the droplets generated by the breakup model are assumed to be governed by a Fokker-Planck equation, describing the evolution of the {PDF} of droplet radii. The fragmentation intensity spectrum is considered to be Gaussian and the scale of Lagrangian relative velocity fluctuations is included in the breakup frequency calculations. The aerodynamic interactions of droplets in the dense part of the spray are modeled by correcting the relative velocity of droplets in the wake of other droplets. The stochastic breakup model is employed together with the wake interaction model for simulations of non-evaporating and evaporating sprays in various gas temperature and pressure conditions. The predicted results for physical spray parameters, such as the spray penetration length are found to be in good agreement with the available experimental data.

1 aIrannejad, Abolfazl1 aJaberi, Farhad uhttp://papers.sae.org/2013-01-1101/00506nas a2200109 4500008004100000245010300041210006900144260002600213100001700239700001500256856012500271 2013 eng d00aLarge Eddy Simulation of Spray Mixing and Combustion with Two-Phase Filtered Mass Density Function0 aLarge Eddy Simulation of Spray Mixing and Combustion with TwoPha aSan Diego, California1 aIrannejad, A1 aJaberi, F. uhttps://icer.msu.edu/research/publications/large-eddy-simulation-spray-mixing-combustion-two-phase-filtered-mass-density00562nas a2200133 4500008004100000245012600041210006900167490001200236100002000248700001600268700001500284700001500299856011400314 2013 eng d00aLarge-Eddy Simulations of Turbulent Flows in Internal Combustion Engines, International Journal of Heat and Mass Transfer0 aLargeEddy Simulations of Turbulent Flows in Internal Combustion 0 vVol. 601 aBanaeizadeh, A.1 aAfshari, A.1 aSchock, H.1 aJaberi, F. uhttps://icer.msu.edu/research/publications/large-eddy-simulations-turbulent-flows-internal-combustion-engines01427nas a2200133 4500008004100000245008600041210006900127260004200196520096600238100001901204700001501223700001501238856004001253 2013 eng d00aNumerical Simulations of Turbulent Sprays with a Multicomponent Evaporation Model0 aNumerical Simulations of Turbulent Sprays with a Multicomponent aWarrendale, {PA}b{SAE} International3 aA multicomponent droplet evaporation model which discretizes the one-dimensional mass and temperature profiles inside a droplet with a finite volume method has been developed and implemented into a large-eddy simulation ({LES)} model for spray simulations. The {LES} and multicomponent models were used along with the {KH-RT} secondary droplet breakup model to simulate realistic fuel sprays in a closed vessel. The effect of various spray and ambient gas parameters on the liquid penetration length of different single component and multicomponent fuels was investigated. The numerical results indicate that the spray penetration length decreases non-linearly with increasing gas temperature or pressure and is less sensitive to changes in ambient gas conditions at higher temperatures or pressures. The spray models and {LES} were found to predict the experimental results for n-hexadecane and two multicomponent surrogate diesel fuels reasonably well.

1 aSrivastava, S.1 aSchock, H.1 aJaberi, F. uhttp://papers.sae.org/2013-01-1603/00719nam a2200169 4500008004100000020002200041245012800063210006900191260005100260300001200311100001800323700002000341700001800361700001900379700002700398856012400425 2013 eng d a978-3-642-33573-000aProceedings of the 21st International Meshing Roundtable: An h-r Moving Mesh Method for One-Dimensional Time-Dependent PDEs0 aProceedings of the 21st International Meshing Roundtable An hr M aBerlin, HeidelbergbSpringer Berlin Heidelberg a39 - 541 aOng, Benjamin1 aRussell, Robert1 aRuuth, Steven1 aJiao, Xiangmin1 aWeill, Jean-Christophe uhttps://icer.msu.edu/research/publications/proceedings-21st-international-meshing-roundtable-h-r-moving-mesh-method-one00509nas a2200121 4500008004100000245009000041210006900131490001200200100002200212700001100234700001700245856012500262 2013 eng d00aSubgrid-Scale Models for Large-Eddy Simulations of Shock-Boundary Layer Interactions,0 aSubgridScale Models for LargeEddy Simulations of ShockBoundary L0 v Vol. 51 aJammalamadaka, A.1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/subgrid-scale-models-large-eddy-simulations-shock-boundary-layer-interactions01651nas a2200553 4500008004100000245022000041210006900261260001200330653006000342100001500402700001500417700001500432700001200447700001400459700001300473700001200486700001300498700001600511700001700527700001300544700001700557700001500574700001500589700001800604700001800622700001200640700001500652700001300667700001400680700001900694700001800713700001500731700001800746700001200764700001500776700001500791700001500806700002000821700001400841700001400855700001200869700001800881700001600899700001400915700001500929700001300944700001400957856012600971 2012 eng d00aA Census of Star-Forming Galaxies in the z~9-10 Universe based on HST+Spitzer Observations Over 19 CLASH clusters: Three Candidate z~9-10 Galaxies and Improved Constraints on the Star Formation Rate Density at z~9.20 aCensus of StarForming Galaxies in the z910 Universe based on HST c11/201210aAstrophysics - Cosmology and Extragalactic Astrophysics1 aBouwens, R1 aBradley, L1 aZitrin, A.1 aCoe, D.1 aFranx, M.1 aZheng, W1 aSmit, R1 aHost, O.1 aPostman, M.1 aMoustakas, L1 aLabbe, I1 aCarrasco, M.1 aMolino, A.1 aDonahue, M1 aKelson, D., D1 aMeneghetti, M1 aJha, S.1 aBenitez, N1 aLemze, D1 aUmetsu, K1 aBroadhurst, T.1 aMoustakas, J.1 aRosati, P.1 aBartelmann, M1 aFord, H1 aGraves, G.1 aGrillo, C.1 aInfante, L1 aJiminez-Teja, Y1 aJouvel, S1 aLahav, O.1 aMaoz, D1 aMedezinski, E1 aMelchior, P1 aMerten, J1 aNonino, M.1 aOgaz, S.1 aSeitz, S. uhttps://icer.msu.edu/research/publications/census-star-forming-galaxies-z9-10-universe-based-hstspitzer-observations-over01350nas a2200457 4500008004100000245009300041210006900134260001200203490000800215653001600223653003200239653005400271653002800325653003400353100001500387700001800402700001500420700001200435700002200447700001600469700001100485700001300496700001700509700001600526700001900542700001200561700001300573700001400586700001800600700001800618700001500636700001500651700001500666700001500681700001300696700001800709700001500727700001500742700001300757856012200770 2012 eng d00aCLASH: Discovery of a Bright z ~= 6.2 Dwarf Galaxy Quadruply Lensed by MACS J0329.6-02110 aCLASH Discovery of a Bright z 62 Dwarf Galaxy Quadruply Lensed b c03/20120 v74710adark matter10agalaxies: clusters: general10agalaxies: clusters: individual: MACS J0329.6-021110aGalaxies: High-Redshift10agravitational lensing: strong1 aZitrin, A.1 aMoustakas, J.1 aBradley, L1 aCoe, D.1 aMoustakas, L., A.1 aPostman, M.1 aShu, X1 aZheng, W1 aBenítez, N.1 aBouwens, R.1 aBroadhurst, T.1 aFord, H1 aHost, O.1 aJouvel, S1 aKoekemoer, A.1 aMeneghetti, M1 aRosati, P.1 aDonahue, M1 aGrillo, C.1 aKelson, D.1 aLemze, D1 aMedezinski, E1 aMolino, A.1 aNonino, M.1 aOgaz, S. uhttps://icer.msu.edu/research/publications/clash-discovery-bright-z-62-dwarf-galaxy-quadruply-lensed-macs-j03296-021102193nas a2200733 4500008004100000245009800041210006900139260001200208490000800220653002800228653001600256653005400272653003400326653003200360100002000392700002300412700001800435700001900453700001600472700002000488700002000508700002300528700001900551700002200570700001300592700001800605700002100623700001900644700001700663700002200680700001900702700002100721700001800742700002200760700001800782700002000800700002000820700002100840700002000861700001800881700002200899700001900921700001800940700002200958700001400980700001700994700002001011700002401031700002401055700002501079700002201104700002101126700001901147700001801166700002701184700001901211700001601230700002001246700002001266700001501286700001801301700001501319856012501334 2012 eng d00aCLASH: Mass Distribution in and around MACS J1206.2-0847 from a Full Cluster Lensing Analysis0 aCLASH Mass Distribution in and around MACS J120620847 from a Ful c08/20120 v75510acosmology: observations10adark matter10agalaxies: clusters: individual: MACS J1206.2-084710agravitational lensing: strong10agravitational lensing: weak1 aUmetsu, Keiichi1 aMedezinski, Elinor1 aNonino, Mario1 aMerten, Julian1 aZitrin, Adi1 aMolino, Alberto1 aGrillo, Claudio1 aCarrasco, Mauricio1 aDonahue, Megan1 aMahdavi, Andisheh1 aCoe, Dan1 aPostman, Marc1 aKoekemoer, Anton1 aCzakon, Nicole1 aSayers, Jack1 aMroczkowski, Tony1 aGolwala, Sunil1 aKoch, Patrick, M1 aLin, Kai-Yang1 aMolnar, Sandor, M1 aRosati, Piero1 aBalestra, Italo1 aMercurio, Amata1 aScodeggio, Marco1 aBiviano, Andrea1 aAnguita, Timo1 aInfante, Leopoldo1 aSeidel, Gregor1 aSendra, Irene1 aJouvel, Stephanie1 aHost, Ole1 aLemze, Doron1 aBroadhurst, Tom1 aMeneghetti, Massimo1 aMoustakas, Leonidas1 aBartelmann, Matthias1 aBenítez, Narciso1 aBouwens, Rychard1 aBradley, Larry1 aFord, Holland1 aJiménez-Teja, Yolanda1 aKelson, Daniel1 aLahav, Ofer1 aMelchior, Peter1 aMoustakas, John1 aOgaz, Sara1 aSeitz, Stella1 aZheng, Wei uhttps://icer.msu.edu/research/publications/clash-mass-distribution-around-macs-j12062-0847-full-cluster-lensing-analysis01974nas a2200733 4500008004100000245008800041210006900129260001200198490000800210653001600218653003200234653005600266653002800322653003400350100001500384700001500399700001500414700001500429700001600444700001200460700001400472700001500486700001900501700001400520700001700534700001600551700001700567700001700584700001500601700001200616700001300628700002000641700001800661700001300679700001800692700001600710700001400726700001500740700001300755700001500768700001500783700001200798700001500810700001400825700001400839700001300853700001700866700001200883700001600895700001800911700001600929700001800945700001400963700001500977700002200992700001301014700001401027700001501041700001401056700001401070700001401084700002001098856012201118 2012 eng d00aCLASH: New Multiple Images Constraining the Inner Mass Profile of MACS J1206.2-08470 aCLASH New Multiple Images Constraining the Inner Mass Profile of c04/20120 v74910adark matter10agalaxies: clusters: general10agalaxies: clusters: individual: MACS J1206.2–084710aGalaxies: High-Redshift10agravitational lensing: strong1 aZitrin, A.1 aRosati, P.1 aNonino, M.1 aGrillo, C.1 aPostman, M.1 aCoe, D.1 aSeitz, S.1 aEichner, T1 aBroadhurst, T.1 aJouvel, S1 aBalestra, I.1 aMercurio, A1 aScodeggio, M1 aBenítez, N.1 aBradley, L1 aFord, H1 aHost, O.1 aJimenez-Teja, Y1 aKoekemoer, A.1 aZheng, W1 aBartelmann, M1 aBouwens, R.1 aCzoske, O1 aDonahue, M1 aGraur, O1 aGraves, G.1 aInfante, L1 aJha, S.1 aKelson, D.1 aLahav, O.1 aLazkoz, R1 aLemze, D1 aLombardi, M.1 aMaoz, D1 aMcCully, C.1 aMedezinski, E1 aMelchior, P1 aMeneghetti, M1 aMerten, J1 aMolino, A.1 aMoustakas, L., A.1 aOgaz, S.1 aPatel, B.1 aRegoes, E.1 aRiess, A.1 aRodney, S1 aUmetsu, K1 aVan der Wel, A. uhttps://icer.msu.edu/research/publications/clash-new-multiple-images-constraining-inner-mass-profile-macs-j12062-084701835nas a2200637 4500008004100000245007600041210006900117260001200186490000800198100001300206700002000219700001600239700001900255700002300274700001800297700002300315700001800338700002400356700002300380700002400403700002200427700001900449700002100468700001500489700001800504700002000522700002200542700001700564700002200581700001500603700002000618700001400638700001800652700002000670700001800690700002700708700002000735700002000755700001700775700002500792700002200817700002100839700001400860700002200874700001600896700002200912700001900934700002400953700001400977700002400991700001901015700001601034700001801050700001801068856011101086 2012 eng d00aCLASH: Precise New Constraints on the Mass Profile Galaxy Cluster A22610 aCLASH Precise New Constraints on the Mass Profile Galaxy Cluster c09/20120 v7571 aCoe, Dan1 aUmetsu, Keiichi1 aZitrin, Adi1 aDonahue, Megan1 aMedezinski, Elinor1 aPostman, Marc1 aCarrasco, Mauricio1 aAnguita, Timo1 aGeller, Margaret, J1 aRines, Kenneth, J.1 aDiaferio, Antonaldo1 aKurtz, Michael, J1 aBradley, Larry1 aKoekemoer, Anton1 aZheng, Wei1 aNonino, Mario1 aMolino, Alberto1 aMahdavi, Andisheh1 aLemze, Doron1 aInfante, Leopoldo1 aOgaz, Sara1 aMelchior, Peter1 aHost, Ole1 aFord, Holland1 aGrillo, Claudio1 aRosati, Piero1 aJiménez-Teja, Yolanda1 aMoustakas, John1 aAscaso, Begoña1 aLahav, Ofer;1 aBartelmann, Matthias1 aBenítez, Narciso1 aBouwens, Rychard1 aGraur, Or1 aGraves, Genevieve1 aJha, Saurab1 aJouvel, Stephanie1 aKelson, Daniel1 aMoustakas, Leonidas1 aMaoz, Dan1 aMeneghetti, Massimo1 aMerten, Julian1 aRiess, Adam1 aRodney, Steve1 aSeitz, Stella uhttps://icer.msu.edu/research/publications/clash-precise-new-constraints-mass-profile-galaxy-cluster-a226100586nas a2200157 4500008004100000245009300041210006900134490000700203100001800210700001300228700001600241700001600257700001800273700001600291856012100307 2012 eng d00aEvaluating DEM source and resolution uncertainties in the Soil and Water Assessment Tool0 aEvaluating DEM source and resolution uncertainties in the Soil a0 v271 aLin, Shengpan1 aJing, C.1 aColes, N.A.1 aChaplot, V.1 aMoore, Nathan1 aWu, Jiaping uhttps://icer.msu.edu/research/publications/evaluating-dem-source-resolution-uncertainties-soil-water-assessment-tool01554nas a2200529 4500008004100000245007700041210006900118260001200187490000800199100001500207700001800222700001600240700002000256700001600276700002200292700001500314700002000329700001900349700001300368700002700381700002300408700001800431700002200449700001800471700002200489700002100511700002100532700002300553700002500576700002000601700001900621700002000640700002200660700002000682700002300702700001600725700001700741700002000758700002400778700001900802700001800821700001500839700001800854700002000872700002300892856010900915 2012 eng d00aA magnified young galaxy from about 500 million years after the Big Bang0 amagnified young galaxy from about 500 million years after the Bi c09/20120 v4891 aZheng, Wei1 aPostman, Marc1 aZitrin, Adi1 aMoustakas, John1 aShu, Xinwen1 aJouvel, Stephanie1 aHøst, Ole1 aMolino, Alberto1 aBradley, Larry1 aCoe, Dan1 aMoustakas, Leonidas, A1 aCarrasco, Mauricio1 aFord, Holland1 aBenítez, Narciso1 aLauer, Tod, R1 aSeitz, Stella;, B1 aBouwens, Rychard1 aKoekemoer, Anton1 aMedezinski, Elinor1 aBartelmann, Matthias1 aBroadhurst, Tom1 aDonahue, Megan1 aGrillo, Claudio1 aInfante, Leopoldo1 aJha, Saurabh, W1 aKelson, Daniel, D.1 aLahav, Ofer1 aLemze, Doron1 aMelchior, Peter1 aMeneghetti, Massimo1 aMerten, Julian1 aNonino, Mario1 aOgaz, Sara1 aRosati, Piero1 aUmetsu, Keiichi1 avan der Wel, Arjen uhttps://icer.msu.edu/research/publications/magnified-young-galaxy-about-500-million-years-after-big-bang01334nas a2200493 4500008004100000245015700041210006900198260001200267490000800279100001600287700001300303700002200316700001300338700001400351700001400365700001400379700001300393700001500406700001200421700001800433700001500451700001400466700001500480700001300495700001500508700001400523700001300537700001300550700001400563700001200577700001400589700001400603700001500617700001500632700001100647700001800658700001800676700001500694700001500709700001500724700001400739700001500753856007200768 2012 eng d00aMass Measurements of the Neutron-Deficient 41Ti, 45Cr, 49Fe, and 53Ni Nuclides: ￼First Test of the Isobaric Multiplet Mass Equation in fp-Shell Nuclei0 aMass Measurements of the NeutronDeficient 41Ti 45Cr 49Fe and 53N c09/20120 v1091 aZhang, Y.H.1 aXu, H.S.1 aLitvinov, Yu., A.1 aTu, X.L.1 aYan, X.L.1 aTypel, S.1 aBlaum, K.1 aWang, M.1 aZhou, X.H.1 aSun, Y.1 aBrown, B., A.1 aYuan, Y.J.1 aXia, J.W.1 aYang, J.C.1 aAudi, G.1 aChen, X.C.1 aJia, G.B.1 aHu, Z.G.1 aMa, X.W.1 aMao, R.S.1 aMei, B.1 aShuai, P.1 aSun, Z.Y.1 aWang, S.T.1 aXiao, G.Q.1 aXu, X.1 aYamaguchi, T.1 aYamaguchi, Y.1 aZang, Y.D.1 aZhao, H.W.1 aZhao, T.C.1 aZhang, W.1 aZhan, W.L. uhttp://journals.aps.org/prl/abstract/10.1103/PhysRevLett.109.10250100700nas a2200193 4500008004100000020002200041245007400063210006900137260003700206300001400243653001200257653002200269653002700291100001800318700001400336700002400350700001900374856011300393 2011 eng d a978-1-4503-0813-700aApproximate kernel k-means: solution to large scale kernel clustering0 aApproximate kernel kmeans solution to large scale kernel cluster aSan Diego, CA, USAbACMc08/2011 a895–90310ak-means10akernel clustering10alarge-scale clustering1 aChitta, Radha1 aJin, Rong1 aHavens, Timothy, C.1 aJain, Anil, K. uhttps://icer.msu.edu/research/publications/approximate-kernel-k-means-solution-large-scale-kernel-clustering00414nas a2200109 4500008004100000245005900041210005800100100001600158700001400174700001900188856009700207 2011 eng d00aMulti-label Learning with Incomplete Class Assignments0 aMultilabel Learning with Incomplete Class Assignments1 aBucak, S.S.1 aJin, Rong1 aJain, Anil, K. uhttps://icer.msu.edu/research/publications/multi-label-learning-incomplete-class-assignments00518nas a2200133 4500008004100000245007400041210006900115260001900184100002400203700001800227700001900245700001400264856010600278 2011 eng d00aSpeedup of fuzzy and possibilistic c-means for large-scale clustering0 aSpeedup of fuzzy and possibilistic cmeans for largescale cluster aTaipei, Taiwan1 aHavens, Timothy, C.1 aChitta, Radha1 aJain, Anil, K.1 aJin, Rong uhttps://icer.msu.edu/research/publications/speedup-fuzzy-possibilistic-c-means-large-scale-clustering00492nas a2200109 4500008004100000245009800041210006900139490002000208100001100228700001700239856012600256 2010 eng d00aA High-Order Finite-Difference Method for Numerical Simulations of Supersonic Turbulent Flows0 aHighOrder FiniteDifference Method for Numerical Simulations of S0 vTo be published1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/high-order-finite-difference-method-numerical-simulations-supersonic-turbulent00493nas a2200109 4500008004100000245008500041210006900126260002500195100002200220700001700242856012400259 2010 eng d00aLarge -Scale Simulations of Incident Shock-Turbulent Boundary Layer Interactions0 aLarge Scale Simulations of Incident ShockTurbulent Boundary Laye aOrlando, FLc01/20101 aJammalamadaka, A.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-scale-simulations-incident-shock-turbulent-boundary-layer-interactions01408nas a2200181 4500008004100000245009500041210006900136260001200205300001400217490000700231520071100238653009300949653000801042100001701050700001901067700001701086856012301103 2010 eng d00aLarge-Eddy Simulations of Turbulent Methane Jet Flames with Filtered Mass Density Function0 aLargeEddy Simulations of Turbulent Methane Jet Flames with Filte c05/2010 a2551-25620 v533 aThe filtered mass density function (FMDF) model (Jaberi et al. 1999 [1]) is employed for large eddy simulations (LES) of “high speed” partially-premixed methane jet flames with the “flamelet” and “finite-rate” kinetics models. The FMDF is the joint probability density function (PDF) of the scalars and is determined via the solution of a set of stochastic differential equations. The LES/FMDF is implemented using a highly scalable, parallel hybrid Eulerian–Lagrangian numerical scheme. The LES/FMDF results are shown to compare well with the experimental data for all flow conditions when “appropriate” reaction and mixing models are employed.

10aFiltered mass density function; PDF methods; Monte-Carlo simulations; Methane jet flames10aLES1 aYaldizli, M.1 aMehravaran, K.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-eddy-simulations-turbulent-methane-jet-flames-filtered-mass-density-001381nas a2200133 4500008004100000245006700041210006600108260003100174520088700205100001101092700001701103700002001120856010701140 2010 eng d00aLarge-Scale Simulations of Supersonic Turbulent Reacting Flows0 aLargeScale Simulations of Supersonic Turbulent Reacting Flows aOrlando, FLbAIAAc01/20103 aThe scalar filtered mass density function (FMDF) is further developed and employed for large-eddy simulations (LES) of high speed turbulent flows in complex geometries. LES/FMDF is implemented via an efficient, hybrid numerical method. In this method, the filtered compressible Navier-Stokes equations in curvilinear coordinate systems are solved with a generalized, high-order, multi-block, compact differencing scheme. Turbulent mixing and combustion are modeled with the FMDF. The LES/FMDF method is used for simulations of isotropic turbulent flow in a piston-cylinder assembly, the flow in a shock tube and a supersonic co-axial helium-air jet. The critical role of pressure in the FMDF equation when applied to compressible flows is studied. It is shown that LES/FMDF is reliable and is able to simulate compressible turbulent mixing and combustion in supersonic flows.

1 aLi, Z.1 aJaberi, F.A.1 aBanaeizadeh, A. uhttps://icer.msu.edu/research/publications/large-scale-simulations-supersonic-turbulent-reacting-flows00501nas a2200109 4500008004100000245011100041210006900152100001600221700001400237700001900251856012100270 2010 eng d00aMulti-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition0 aMultilabel Multiple Kernel Learning by Stochastic Approximation 1 a.S.Bucak, S1 aJin, Rong1 aJain, Anil, K. uhttps://icer.msu.edu/research/publications/multi-label-multiple-kernel-learning-stochastic-approximation-application01480nas a2200121 4500008004100000245008700041210006900128260003100197520098000228100001101208700001701219856012201236 2010 eng d00aNumerical Investigations of Shock-Turbulence Interactions in a Planar Mixing Layer0 aNumerical Investigations of ShockTurbulence Interactions in a Pl aOrlando, FLbAIAAc01/20103 aDirect numerical simulation (DNS) and large-eddy simulation (LES) of spatially developing supersonic mixing layer, interacting with an oblique shock wave are conducted with a new high-order Monotonicity-Preserving scheme. Without the incident shock, the mixing layer grows linearly and exhibits self-similar behavior after the transition. With the shock, significant small-scale turbulence is generated just behind the shock. With an increase in shock angle, the intensity of the shock-generated turbulence is increased and its peak position shifts away from the mixing layer centerline. The effects of turbulence on the shock are also shown to be very significant, such that normal shocklets and large adverse pressure gradients are created in some conditions. Comparison with the DNS data indicates that the LES with the modified kinetic energy viscosity (MKEV) subgrid stress model is able to predict the main features of the flow and shock-turbulence interactions.

1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/numerical-investigations-shock-turbulence-interactions-planar-mixing-layer01438nas a2200133 4500008004100000245010400041210006900145260001700214300001600231520090000247100001701147700001801164856012201182 2010 eng d00aOn the Use of Genetic Programming for Automated Refactoring and the Introduction of Design Patterns0 aUse of Genetic Programming for Automated Refactoring and the Int bACMc07/2010 a1341–13483 aMaintaining an object-oriented design for a piece of software is a difficult, time-consuming task. Prior approaches to au- tomated design refactoring have focused on making small, iterative changes to a given software design. However, such approaches do not take advantage of composition of design changes, thus limiting the richness of the refactoring strate- gies that they can generate. In order to address this prob- lem, this paper introduces an approach that supports com- position of design changes and makes the introduction of design patterns a primary goal of the refactoring process. The proposed approach uses genetic programming and soft- ware engineering metrics to identify the most suitable set of refactorings to apply to a software design. We illustrate the efficacy of this approach by applying it to a large set of published models, as well as a real-world case study.

1 aJensen, A.C.1 aCheng, B.H.C. uhttps://icer.msu.edu/research/publications/use-genetic-programming-automated-refactoring-introduction-design-patterns00515nas a2200121 4500008004100000245009400041210006900135100001600204700002300220700001400243700001900257856011700276 2009 eng d00aEfficient Multi-label Ranking for Multi-class Learning: Application to Object Recognition0 aEfficient Multilabel Ranking for Multiclass Learning Application1 a.S.Bucak, S1 aMallapragada, P.K.1 aJin, Rong1 aJain, Anil, K. uhttps://icer.msu.edu/research/publications/efficient-multi-label-ranking-multi-class-learning-application-object01687nas a2200145 4500008004100000245011000041210006900151260002800220520109700248100001901345700001701364700001901381700001601400856012501416 2009 eng d00aExperimental and Computational Analysis of Fuel Mixing in a Low Pressure Direct Injection Gasoline Engine0 aExperimental and Computational Analysis of Fuel Mixing in a Low aVail, Coloradoc07/20093 aAn experimental and computational investigation of the fuel spray mixing in an optically accessible single-cylinder direct-injection engine under realistic operating conditions was performed. High speed flow visualization in the op- tical engine was performed with images taken at a rate of 10,000 frames per second. The numerical simulations were carried out using the KIVA-3V software, which uses the discrete particle method for modeling the spray, with the secondary droplet breakup modeled by the Taylor Analogy Breakup (TAB) model. The nozzle configuration, jet orientation, injection flow rate and other injection parameters were matched with the experimental conditions. The simulated spray patterns in the cylinder were shown to compare well with the fuel distribution images obtained from the high speed flow visualization. The computational and experimental results for the fuel impingement on the cyl- inder walls, piston and valves, and those for the spark plug wetting and evaporated fuel mixing indicate the strong dependency of the fuel-air mixing to the spray pattern.

1 aSrivastava, S.1 aJaberi, F.A.1 aSchock, Harold1 aHung, David uhttps://icer.msu.edu/research/publications/experimental-computational-analysis-fuel-mixing-low-pressure-direct-injection01283nas a2200133 4500008004100000245009500041210006900136260005900205520071100264100001700975700001900992700001701011856012101028 2009 eng d00aLarge-Eddy Simulations of Turbulent Methane Jet Flames with Filtered Mass Density Function0 aLargeEddy Simulations of Turbulent Methane Jet Flames with Filte aAnn Arbor, MichiganbThe Combustion Institutec05/20093 aThe filtered mass density function (FMDF) model (Jaberi et al. 1999 [1]) is employed for large eddy simulations (LES) of “high speed” partially-premixed methane jet flames with the “flamelet” and “finite-rate” kinetics models. The FMDF is the joint probability density function (PDF) of the scalars and is determined via the solution of a set of stochastic differential equations. The LES/FMDF is implemented using a highly scalable, parallel hybrid Eulerian–Lagrangian numerical scheme. The LES/FMDF results are shown to compare well with the experimental data for all flow conditions when “appropriate” reaction and mixing models are employed.

1 aYaldizli, M.1 aMehravaran, K.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-eddy-simulations-turbulent-methane-jet-flames-filtered-mass-density01565nas a2200121 4500008004100000245005800041210005700099260007700156520108400233100001101317700001701328856009801345 2009 eng d00aLarge-Scale Simulations of High Speed Turbulent Flows0 aLargeScale Simulations of High Speed Turbulent Flows aOrlando, FLbAmerican Institute of Aeronautics and Astronauticsc01/20093 aThis paper briefly describes a new class of high-order Monotonicity-Preserving (MP) finite difference methods recently developed for direct numerical simulation (DNS) and large-eddy simulation (LES) of high-speed turbulent flows. The MP method has been implemented together with high-order compact (COMP) and weighted essentially non- oscillatory (WENO) methods in a generalized three-dimensional (3D) code and has been applied to various 1D, 2D and 3D problems. For the LES, compressible versions of the gradient-based subgrid-scale closures are employed. Detailed and extensive analysis of various flows indicates that MP schemes have less numerical dissipation and faster grid convergence than WENO schemes. Simulations conducted with high-order MP schemes preserve sharp changes in flow variables without spurious oscillations and capture the turbulence at the smallest simulated scales. The non-conservative form of the scalar equation solved with MP schemes are shown to generate the same results as COMP schemes for supersonic mixing problems involving shock waves.

1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-scale-simulations-high-speed-turbulent-flows01658nas a2200133 4500008004100000245006400041210006300105260005900168520114000227100002001367700001901387700001701406856010101423 2009 eng d00aLES/FMDF of Spray Combustion in Internal Combustion Engines0 aLESFMDF of Spray Combustion in Internal Combustion Engines aAnn Arbor, MichiganbThe Combustion Institutec05/20063 aThe two-phase filtered mass density function (FMDF) model is employed for large-eddy simulation (LES) of turbulent spray combustion in internal combustion (IC) engines. The LES/FMDF is implemented with an efficient, hybrid numerical method. In this method, the filtered compressible Navier-Stokes equations in curvilinear coordinate systems are solved with a generalized, high-order, multi-block, compact differencing scheme. The spray and the FMDF are implemented with Lagrangian methods. The LES/FMDF methodology has been used for simulations of turbulent combustion in a rapid compression machine (RCM) and in a direct-injection spark-ignition (DISI) engine. For both RCM and DISI engine, the complex interactions among turbulent velocity, fuel droplets and combustion are shown to be well captured with the LES/FMDF. The results for the DISI engine indicate that the size, velocity, evaporation and combustion of the sprayed fuel droplets are strongly affected by the unsteady, vortical motions generated by the incoming air during the intake stroke. In turn, the droplets are found to change the in-cylinder flow structure.

1 aBanaeizadeh, A.1 aSchock, Harold1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/les-fmdf-spray-combustion-internal-combustion-engines00490nas a2200109 4500008004100000245007600041210006900117260005600186100001100242700001700253856011000270 2009 eng d00aA New Model for Numerical Simulations of Two-Phase Turbulent Combustion0 aNew Model for Numerical Simulations of TwoPhase Turbulent Combus aAnn Arbor, MIbNational Combustion Meetingc05/20091 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/new-model-numerical-simulations-two-phase-turbulent-combustion01341nas a2200145 4500008004100000245009000041210006900131260005000200520075100250100001901001700001901020700001701039700001601056856012301072 2009 eng d00aNumerical Simulation of a Direct-Injection Spark-Ignition Engine with Different Fuels0 aNumerical Simulation of a DirectInjection SparkIgnition Engine w aDetroit, MichiganbSAE Internationalc04/20093 aThis paper focuses on the numerical investigation of the mixing and combustion of ethanol and gasoline in a single-cylinder 3-valve direct-injection spark-ignition engine. The numerical simulations are conducted with the KIVA code with global reaction models. However, an ignition delay model mitigates some of the deficiencies of the global one-step reaction model and is implemented via a two-dimensional look-up table, which was created using available detailed kinetics models. Simulations demonstrate the problems faced by ethanol operated engines and indicate that some of the strategies used for emission control and downsizing of gasoline engines can be employed for enhancing the combustion efficiency of ethanol operated engines.

1 aSrivastava, S.1 aSchock, Harold1 aJaberi, F.A.1 aHung, David uhttps://icer.msu.edu/research/publications/numerical-simulation-direct-injection-spark-ignition-engine-different-fuels01702nas a2200133 4500008004100000245007000041210006800111260001200179490000700191520123400198100001101432700001701443856010801460 2009 eng d00aTurbulence-Interface Interactions in a Two-Fluid Homogeneous Flow0 aTurbulenceInterface Interactions in a TwoFluid Homogeneous Flow c09/20090 v213 aThe two-way interactions between the turbulent velocity field and the interface in an incompressible two-fluid homogeneous turbulent flow are studied with a recently developed Lagrangian–Eulerian interfacial particle level-set method. The numerical results confirm that the rate of change of the interface area is directly related to the work done by the surface tension force. While the surface tension damps the surrounding turbulence in the “interface stretching period” to oppose the increase in interface area, it is shown to actually increase the turbulent kinetic energy when the interface experiences compression. Additionally, the surface tension force is found to generate strong vortical motions close to the interface through the baroclinic torque effects. There is also an increase in strain rate and the viscous dissipation rate of turbulent kinetic energy in the interface region. The effect of interface on the surrounding turbulence appears primarily in the direction perpendicular to the interface. Analysis of the vorticity and kinetic energy equations indicates that the turbulence-interface interactions are strongly dependent on the fluids’ density ratio and the Weber number.

1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/turbulence-interface-interactions-two-fluid-homogeneous-flow01908nas a2200133 4500008004100000245008100041210006900122260003200191520138900223100001101612700001701623700001701640856011701657 2008 eng d00aFiltered Mass Density Function for Numerical Simulations of Spray Combustion0 aFiltered Mass Density Function for Numerical Simulations of Spra aReno, NevadabAIAAc01/20083 aThis paper briefly describes our recent efforts on the modeling and numerical simulations of two-phase turbulent reacting flows in realistic combustion systems with a new large-eddy simulation (LES) model. The model is constructed based on the two-phase extension of scalar filtered mass density function (FMDF) and a Lagrangian-Eulerian- Lagrangian mathematical/numerical methodology. In this methodology, the “resolved” fluid velocity field is obtained by solving the filtered form of the compressible Navier-Stokes equations with a high-order finite difference scheme. The liquid (droplet) phase and scalar (temperature and species mass fractions) fields are both obtained by stochastic Lagrangian models. There are two-way interactions between the phases and all the Eulerian and Lagrangian fields. The LES/FMDF is used for systematic analysis of turbulent combustion in the spray-controlled dump combustor and double-swirl spray burner for various flow and spray parameters. The effects of fuel type, spray angle, mass loading ratio, droplet size distribution, fuel/air composition, wall, and inflow/outflow conditions on the combustion are investigated. It has been found that the main features of the turbulence and combustion are modified by changing the inflow/outflow conditions. The LES/FMDF results also confirm the significance of the spray parameters.

1 aLi, Z.1 aJaberi, F.A.1 aYaldizli, M. uhttps://icer.msu.edu/research/publications/filtered-mass-density-function-numerical-simulations-spray-combustion02418nas a2200169 4500008004100000245011500041210006900156260001100225300001400236490000700250520174400257653007702001100001102078700001702089700001902106856012302125 2008 eng d00aA Hybrid Langrangian-Eulerian Particle-Level Set Method for numerical Simulations of Two-Fluid Turbulent Flows0 aHybrid LangrangianEulerian ParticleLevel Set Method for numerica c4/2008 a2271-23000 v563 aA coupled Lagrangian interface-tracking and Eulerian level set (LS) method is developed and implemented for numerical simulations of two-fluid flows. In this method, the interface is identified based on the locations of notional particles and the geometrical information concerning the interface and fluid properties, such as density and viscosity, are obtained from the LS function. The LS function maintains a signed distance function without an auxiliary equation via the particle-based Lagrangian re-initialization technique. To assess the new hybrid method, numerical simulations of several ‘standard interface-moving’ problems and two-fluid laminar and turbulent flows are conducted. The numerical results are evaluated by monitoring the mass conservation, the turbulence energy spectral density function and the consistency between Eulerian and Lagrangian components. The results of our analysis indicate that the hybrid particle-level set method can handle interfaces with complex shape change, and can accurately predict the interface values without any significant (unphysical) mass loss or gain, even in a turbulent flow. The results obtained for isotropic turbulence by the new particle-level set method are validated by comparison with those obtained by the ‘zero Mach number’, variable-density method. For the cases with small thermal/mass diffusivity, both methods are found to generate similar results. Analysis of the vorticity and energy equations indicates that the destabilization effect of turbulence and the stability effect of surface tension on the interface motion are strongly dependent on the density and viscosity ratios of the fluids. Copyright q 2007 John Wiley & Sons, Ltd.

10atwo-fluid turbulent flows; particle-level set method; interface tracking1 aLi, Z.1 aJaberi, F.A.1 aShih, T., I-P. uhttps://icer.msu.edu/research/publications/hybrid-langrangian-eulerian-particle-level-set-method-numerical-simulations00471nas a2200121 4500008004100000245006500041210006500106260002000171100001600191700002000207700001700227856010500244 2008 eng d00aLarge Eddy Simulation of High Speed Turbulent Reacting Flows0 aLarge Eddy Simulation of High Speed Turbulent Reacting Flows aHawaiic12/20081 aZhaorui, Li1 aBanaeizadeh, A.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-eddy-simulation-high-speed-turbulent-reacting-flows01959nas a2200157 4500008004100000020002200041245006000063210006000123260003800183520141500221100002001636700001601656700001701672700001501689856009701704 2008 eng d a978-0-7918-4327-700aLarge Eddy Simulations of Turbulent Flows in IC Engines0 aLarge Eddy Simulations of Turbulent Flows in IC Engines aBrooklyn, New YorkbASMEc08/20083 aA new computational methodology is developed and tested for large eddy simulation (LES) of turbulent flows in internal combustion (IC) engines. In this methodology, the filtered compressible Navier-Stokes equations in curvilinear coordinate systems are solved via a generalized, high-order, multi-block, compact differencing scheme and various subgrid-scale (SGS) stress closures. Both reacting and nonreacting flows with and without spray are considered. The LES models have been applied to a piston-cylinder assembly with a stationary open valve and harmonically moving flat piston. The flow in a direct-injection spark-ignition (DISI) engine is also considered. It is observed that during the intake stroke of the engine operation, large-scale unsteady turbulent flow motions are developed behind the intake valves. The physical features of these turbulent motions and the ability of LES to capture them are studied and tested by simulating the flow in a simple configuration involving a stationary valve. The flow statistics predicted by LES are shown to compare well with the available experimental data. The DISI configuration includes all the complexities involved in a realistic single-cylinder IC engine, such as the complex geometry, moving valves, moving piston, spray and combustion. The spray combustion is simulated with the recently developed two-phase filtered mass density (FMDF) model.

1 aBanaeizadeh, A.1 aAfshari, A.1 aJaberi, F.A.1 aSchock, H. uhttps://icer.msu.edu/research/publications/large-eddy-simulations-turbulent-flows-ic-engines00522nas a2200121 4500008004100000050001900041245006500060210006400125260007800189100001700267700001100284856010500295 2008 eng d aAIAA 2008-115400aLarge Eddy Simulations of Two-Phase Turbulent Reacting Flows0 aLarge Eddy Simulations of TwoPhase Turbulent Reacting Flows aReno, NevadabAMERICAN INSTITUTE OF AERONAUTICS AND ASTRONAUTICSc01/20081 aJaberi, F.A.1 aLi, Z. uhttps://icer.msu.edu/research/publications/large-eddy-simulations-two-phase-turbulent-reacting-flows01219nas a2200169 4500008004100000245007600041210006900117260001100186300001200197490000700209520061500216653003100831653004000862100001600902700001700918856011400935 2008 eng d00aLarge-Eddy Simulation of a Dispersed Particle-Laden Turbulent Round Jet0 aLargeEddy Simulation of a Dispersed ParticleLaden Turbulent Roun c2/2008 a683-6950 v513 aThe numerical results obtained by large-eddy simulation (LES) of a particle-laden axisymmetric turbulent jet are compared with the available experimental data. The results indicate that with a new stochastic subgrid-scale (SGS) closure, the effects of the particles on the carrier gas and those of the carrier gas on the particles are correctly captured by the LES. Additional numerical experiments are conducted and used to investigate the effects of particle size, mass-loading ratio, and other flow/particle parameters on the statistics of both the carrier gas phase and the particle dispersed phase.

10aParticle-laden jet; dilute10atwo-phase flows; turbulent jet; LES1 aAlmeida, T.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-eddy-simulation-dispersed-particle-laden-turbulent-round-jet02380nas a2200169 4500008004100000245007800041210006900119260001200188300001400200490000700214520170600221653001501927653012301942100001602065700001702081856011202098 2008 eng d00aLarge-Eddy Simulation of Turbulent Flow in an Axisymmetric Dump Combustor0 aLargeEddy Simulation of Turbulent Flow in an Axisymmetric Dump C c07/2008 a1576-15920 v463 aA hybrid Eulerian–Lagrangian, mathematical/computational methodology is developed and evaluated for large- eddy simulations of turbulent combustion in complex geometries. The formulation for turbulence is based on the standard subgrid-scale stress models. The formulation for subgrid-scale combustion is based on the filtered mass density function and its equivalent stochastic Lagrangian equations. An algorithm based on high-order compact differencing on generalized multiblock grids is developed for numerical solution of the coupled Eulerian–Lagrangian equations. The results obtained by large-eddy simulations/filtered mass density function show the computational method to be more efficient than existing methods for similar hybrid systems. The consistency, convergence, and accuracy of the filtered mass density function and its Lagrangian–Monte Carlo solver is established for both reacting and nonreacting flows in a dump combustor. The results show that the finite difference and the Monte Carlo numerical methods employed are both accurate and consistent. The results for a reacting premixed dump combustor also agree well with available experimental data. Additionally, the results obtained for other nonreacting turbulent flows are found to be in good agreement with the experimental and high-order numerical data. Filtered mass density function simulations are performed to examine the effects of boundary conditions, subgrid-scale models, as well as physical and geometrical parameters on dump-combustor flows. The results generated for combustors with and without an inlet nozzle are found to be similar as long as appropriate boundary conditions are employed.

10acombustion10aGas turbine; modeling; combustion chamber; Monte Carlo method; Lagragian Method; turbulent flow; large eddy simulation1 aAfshari, A.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/large-eddy-simulation-turbulent-flow-axisymmetric-dump-combustor02163nas a2200193 4500008004100000245008900041210006900130260001200199300001200211490000800223520143600231653002801667653008201695100001701777700001701794700001901811700001701830856012201847 2008 eng d00aThe Structure of Partially-Premixed Methane Flames in High Intensity Turbulent Flows0 aStructure of PartiallyPremixed Methane Flames in High Intensity c09/2008 a692-7140 v1543 aDirect numerical simulations (DNS) are conducted to study the structure of partially premixed and non-premixed methane flames in high-intensity two-dimensional isotropic turbulent flows. The results obtained via “flame normal analysis” show local extinction and reignition for both non-premixed and partially premixed flames. Dynamical analysis of the flame with a Lagrangian method indicates that the time integrated strain rate characterizes the finite-rate chemistry effects and the flame extinction better than the strain rate. It is observed that the flame behavior is affected by the “pressure-dilatation” and “viscous-dissipation” in addition to strain rate. Consistent with previous studies, high vorticity values are detected close to the reaction zone, where the vorticity generation by the “baroclinic torque” was found to be significant. The influences of (initial) Reynolds and Damköhler numbers, and various air–fuel premixing levels on flame and turbulence variables are also studied. It is observed that the flame extinction occurs similarly in flames with different fuel–air premixing. Our simulations also indicate that the CO emission increases as the partial premixing of the fuel with air increases. Higher values of the temperature, the OH mass fraction and the CO mass fraction are observed within the flame zone at higher Reynolds numbers.

10aDNS; Methane combustion10aturbulent reacting flows; partially premixed flames; reduced chemistry models1 aYaldizli, M.1 aMohammad, H.1 aMehravaran, K.1 aJaberi, F.A. uhttps://icer.msu.edu/research/publications/structure-partially-premixed-methane-flames-high-intensity-turbulent-flows01888nas a2200133 4500008004100000245008100041210006900122260003200191520138900223100001701612700001101629700001701640856009701657 2007 eng d00aFiltered Mass Density Function for Numerical Simulations of Spray Combustion0 aFiltered Mass Density Function for Numerical Simulations of Spra aReno, NevadabAIAAc01/20083 aThis paper briefly describes our recent efforts on the modeling and numerical simulations of two-phase turbulent reacting flows in realistic combustion systems with a new large-eddy simulation (LES) model. The model is constructed based on the two-phase extension of scalar filtered mass density function (FMDF) and a Lagrangian-Eulerian- Lagrangian mathematical/numerical methodology. In this methodology, the “resolved” fluid velocity field is obtained by solving the filtered form of the compressible Navier-Stokes equations with a high-order finite difference scheme. The liquid (droplet) phase and scalar (temperature and species mass fractions) fields are both obtained by stochastic Lagrangian models. There are two-way interactions between the phases and all the Eulerian and Lagrangian fields. The LES/FMDF is used for systematic analysis of turbulent combustion in the spray-controlled dump combustor and double-swirl spray burner for various flow and spray parameters. The effects of fuel type, spray angle, mass loading ratio, droplet size distribution, fuel/air composition, wall, and inflow/outflow conditions on the combustion are investigated. It has been found that the main features of the turbulence and combustion are modified by changing the inflow/outflow conditions. The LES/FMDF results also confirm the significance of the spray parameters.

1 aYaldizli, M.1 aLi, Z.1 aJaberi, F.A. uhttps://icer.msu.edu/filtered-mass-density-function-numerical-simulations-spray-combustion-001318nas a2200133 4500008004100000245006100041210006000102260003200162520086300194100001601057700001701073700001901090856007501109 2007 eng d00aLES/FMDF of Turbulent Combustion in Complex Flow Systems0 aLESFMDF of Turbulent Combustion in Complex Flow Systems aReno, NevadabAIAAc01/20073 aA high-order Lagrangian/Eulerian method based on the the filtered mass density func- tion (FMDF) for subgrid-scale (SGS) combustion closure was developed to perform large eddy simulation (LES) of turbulent reacting flows in complex geometrical configurations in multi-block structured grids. In particular, an efficient algorithm has been developed to search and locate particles in multi-block, hexahedral-structured grid system. Also, the consistency, convergence, and accuracy of the FMDF and the Monte Carlo solution of its equivalent stochastic differential equations were assessed. The consistency between Eulerian and Lagrangian fields were established for a reacting flow in a dump combustor. The results obtained for a reacting flow in an axisymmetric, premixed dump-combustor, were found to compare favorably with measured experimental data.

1 aAfshari, A.1 aJaberi, F.A.1 aShih, T., I-P. uhttps://icer.msu.edu/lesfmdf-turbulent-combustion-complex-flow-systems01300nas a2200133 4500008004100000245007900041210006900120260005000189520079100239100001701030700001101047700001701058856009101075 2007 eng d00aA New Model for Large Eddy Simulations of Multi-Phase Turbulent Combustion0 aNew Model for Large Eddy Simulations of MultiPhase Turbulent Com aCincinnati, OhiobAIAA/ASME/SAI/ASEEc07/20073 aNumerical simulations of a spray-controlled lean premixed dump combustor are con- ducted via a two-phase large eddy simulation (LES) methodology. In this methodology, the velocity field is obtained by a high-order finite difference method. The subgrid gas- liquid combustion closure is based on the two-phase filtered mass density function (FMDF) method and the spray is modeled with a Lagrangian scheme. The effects of spray, fuel/air composition, and inflow/outflow conditions on the combustion are investigated. It has been found that the main features of the turbulence and combustion inside the dump combustor are very differently modified by the spray for different spray parameters. The LES/FMDF results also indicate the significance of the inflow and outflow conditions.

1 aYaldizli, M.1 aLi, Z.1 aJaberi, J.A. uhttps://icer.msu.edu/new-model-large-eddy-simulations-multi-phase-turbulent-combustion01659nas a2200145 4500008004100000020001800041245007700059210006900136260003700205520113400242100001101376700001701387700001701404856009201421 2007 eng d a0-7918-4803-500aNumerical Simulations of Two-Phase Turbulent Combustion in Spray Burners0 aNumerical Simulations of TwoPhase Turbulent Combustion in Spray aLas Vegas, NevadabASMEc09/20073 aThe complex interactions among turbulence, combustion and spray in liquid-fuel burners are modeled and simulated via a new two-phase Lagrangian-Eulerian-Lagrangian large eddy simulation (LES) methodology. In this methodology, the spray is modeled with a Lagrangian mathematical/computational method which allows two-way mass, momentum and energy coupling between phases. The subgrid gas-liquid combustion is based on the two-phase filtered mass density function (FMDF) that has several advantages over “conventional” two-phase combustion models. The LES/FMDF is employed in conjunction with non-equilibrium reaction and droplet models. Simulations of turbulent combustion in a spray-controlled double-swirl burner are conducted via LES/FMDF. The generated results are used for better understanding of spray combustion in realistic turbulent flow configurations. The effects of spray angle, mass loading ratio, fuel type, droplet size distribution, wall and inflow/outflow conditions on the flow and combustion are investigated. The LES/FMDF predictions are shown to be consistent with the experimental results.

1 aLi, Z.1 aYaldizli, M.1 aJaberi, F.A. uhttps://icer.msu.edu/numerical-simulations-two-phase-turbulent-combustion-spray-burners01279nas a2200457 4500008004100000245014900041210006900190260001200259490000700271100001700278700001500295700001600310700001500326700001700341700001600358700001400374700001400388700001800402700001600420700001300436700001600449700001900465700001500484700001700499700001400516700001400530700001400544700001500558700001600573700001700589700001700606700001700623700001500640700001700655700001400672700001400686700001300700700001800713700001900731856007100750 2007 eng d00aShape and Structure of N = Z 64Ge: Electromagnetic Transition Rates from the Application ￼of the Recoil Distance Method to a Knockout Reaction0 aShape and Structure of N Z 64Ge Electromagnetic Transition Rates c07/20070 v991 aStarosta, K.1 aDewald, A.1 aDunomes, A.1 aAdrich, P.1 aAmthor, A.M.1 aBaumann, T.1 aBazin, D.1 aBowen, M.1 aBrown, B., A.1 aChester, A.1 aGade, A.1 aGalaviz, D.1 aGlasmacher, T.1 aGinter, T.1 aHausmann, M.1 aHoroi, M.1 aJolie, J.1 aMelon, B.1 aMiller, D.1 aMoeller, V.1 aNorris, R.P.1 aPissulla, T.1 aPortillo, M.1 aRother, W.1 aShimbara, Y.1 aStolz, A.1 aVaman, C.1 aVoss, P.1 aWeisshaar, D.1 aZelevinsky, V. uhttp://journals.aps.org/prl/abstract/10.1103/PhysRevLett.99.04250301862nas a2200181 4500008004100000245005700041210005600098260001200154300001400166490000800180520132100188100001501509700001901524700002001543700001801563700002401581856007501605 2006 eng d00aAb initio determination of solid-state nanostructure0 aAb initio determination of solidstate nanostructure c07/2005 a655–6580 v4403 aAdvances in materials science and molecular biology followed rapidly from the ability to characterize atomic structure using single crystals1, 2, 3, 4. Structure determination is more difficult if single crystals are not available5. Many complex inorganic materials that are of interest in nanotechnology have no periodic long-range order and so their structures cannot be solved using crystallographic methods6. Here we demonstrate that ab initio structure solution of these nanostructured materials is feasible using diffraction data in combination with distance geometry methods. Precise, sub-ångström resolution distance data are experimentally available from the atomic pair distribution function (PDF)6, 7. Current PDF analysis consists of structure refinement from reasonable initial structure guesses6, 7 and it is not clear, a priori, that sufficient information exists in the PDF to obtain a unique structural solution. Here we present and validate two algorithms for structure reconstruction from precise unassigned interatomic distances for a range of clusters. We then apply the algorithms to find a unique, ab initio, structural solution for C60 from PDF data alone. This opens the door to sub-ångström resolution structure solution of nanomaterials, even when crystallographic methods fail.

1 aJuhás, P.1 aCherba, D., M.1 aDuxbury, P., M.1 aPunch, W., F.1 aBillinge, S., J. L. uhttps://icer.msu.edu/ab-initio-determination-solid-state-nanostructure01464nas a2200157 4500008004100000245008100041210006900122260001200191300001400203490000700217520087700224653008001101100001601181700001701197856009201214 2006 eng d00aDirect Numerical Simulations of a Planar Jet Laden with Evaporating Droplets0 aDirect Numerical Simulations of a Planar Jet Laden with Evaporat c07/2006 a2113-21230 v493 aA direct numerical simulation (DNS) study is conducted on the various aspects of phase interactions in a planar turbulent gas-jet laden with non-evaporative and evaporative liquid droplets. A compressible computational model utilizing a finite difference scheme for the carrier gas and a Lagrangian solver for the droplet phase is used to conduct the numerical experiments. The effects of droplet time constant, mass-loading and mass/momentum/energy coupling between phases on droplet and gas-jet fields are investigated. Significant changes in velocity, temperature, density and turbulence production on account of the coupling between the liquid and gas phases are observed in non-isothermal jets with evaporating droplets. Most of these changes are attributed to the density stratification in the carrier gas that is caused by droplet momentum and heat transfer.

10adroplet-laden turbulent jet; two-phase planar jet; droplet evaporation; DNS1 aAlmeida, T.1 aJaberi, F.A. uhttps://icer.msu.edu/direct-numerical-simulations-planar-jet-laden-evaporating-droplets01233nas a2200145 4500008004100000245007200041210006800113260001200181300001600193490000700209520074700216100002000963700002300983856008101006 2006 eng d00aThe ground state of chargeless fermions with finite magnetic moment0 aground state of chargeless fermions with finite magnetic moment c02/2006 a1239–12490 v393 aWe consider the ground state of a system of chargeless fermions, such as neutrinos, of mass m and magnetic moment m interacting through long-range magnetic dipole interaction, within the framework of a {Hartree-Fock} variational approach. At high densities the uniform paramagnetic state becomes unstable towards a ferromagnetic state with quadrupolar deformation of the Fermi surface. The exchange energy which is attractive dominates the repulsive kinetic energy. If we let the density be a variable, then above a certain density the system will collapse to an infinite density state unless another short-range interaction stops the collapse. In the case of large deformations, the possibility of a purely dipolar deformation exists.

1 aMahanti, S., D.1 aJha, Sudhanshu, S. uhttps://icer.msu.edu/ground-state-chargeless-fermions-finite-magnetic-moment01358nas a2200301 4500008004100000245003200041210003100073260001200104300001100116490000700127520059800134100002000732700002000752700001800772700002200790700001900812700001400831700002400845700001900869700002000888700001400908700001500922700001400937700001800951700001900969700001800988856005001006 2006 eng d00aHalf-life and spin of 60Mng0 aHalflife and spin of 60Mng c04/2006 a0443220 v733 aA value of 0.28±0.02 s has been deduced for the half-life of the ground state of {60Mn,} in sharp contrast to the previously adopted value of 51±6 s. Access to the low-spin {60Mn} ground state was accomplished via β decay of the 0+ {60Cr} parent nuclide. New low-energy states in {60Mn} have been identified from β-delayed γ-ray spectroscopy. The new, shorter half-life of {60Mng} is not suggestive of isospin-forbidden β decay, and new spin and parity assignments of 1+ and 4+ have been adopted for the ground and isomeric β-decaying states, respectively, of {60Mn.}

1 aLiddick, S., N.1 aMantica, P., F.1 aBrown, B., A.1 aCarpenter, M., P.1 aDavies, A., D.1 aHoroi, M.1 aJanssens, R., V. F.1 aMorton, A., C.1 aMueller, W., F.1 aPavan, J.1 aSchatz, H.1 aStolz, A.1 aTabor, S., L.1 aTomlin, B., E.1 aWiedeking, M. uhttps://icer.msu.edu/half-life-and-spin-60mng00743nas a2200277 4500008004100000245003200041210003100073260001200104490000700116100002000123700002000143700001800163700002200181700001900203700001400222700002400236700001900260700002000279700001400299700001500313700001400328700001800342700001900360700001800379856006800397 2006 eng d00aHalf-life and spin of 60Mng0 aHalflife and spin of 60Mng c04/20060 v731 aLiddick, S., N.1 aMantica, P., F.1 aBrown, B., A.1 aCarpenter, M., P.1 aDavies, A., D.1 aHoroi, M.1 aJanssens, R., V. F.1 aMorton, A., C.1 aMueller, W., F.1 aPavan, J.1 aSchatz, H.1 aStolz, A.1 aTabor, S., L.1 aTomlin, B., E.1 aWiedeking, M. uhttp://journals.aps.org/prc/abstract/10.1103/PhysRevC.73.04432200768nas a2200169 4500008004100000245007500041210006900116260002500185520018800210100001900398700001700417700002200434700001700456700001900473700001400492856009200506 2005 eng d00aCoupled Cluster Approaches to Nuclei, Ground States and Excited States0 aCoupled Cluster Approaches to Nuclei Ground States and Excited S aPaestum, Italyc20053 aWe present recent coupled-cluster studies of nuclei, with an emphasis on ground state and excited states of closed shell nuclei. Perspectives for future studies are delineated.

1 aPiecuch, Piotr1 aDean, D., J.1 aJhorth-Jensen, M.1 aKowalski, K.1 aPapenbrock, T.1 aWloch, M. uhttps://icer.msu.edu/coupled-cluster-approaches-nuclei-ground-states-and-excited-states