Publications

The following are publications made possible by iCER resources. MSU faculty that would like to highlight the output of their research that's benefited from iCER resources are invited to contact us.

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A. M. Berger, “MODELS TO AID IN THE SELECTION OF PROCEDURES USED TO MANAGE LAKE ERIE WALLEYE (SANDER VITREUS)”, Michigan State University, 2011.
I. Boustani, Zhu, Z., and Tománek, D., “Search for the largest two-dimensional aggregates of boron: An ab initio study”, Phys. Rev. B, vol. 83, p. 193405, 2011.
R. Bouwens, Bradley, L., Zitrin, A., Coe, D., Franx, M., Zheng, W., Smit, R., Host, O., Postman, M., Moustakas, L., Labbe, I., Carrasco, M., Molino, A., Donahue, M., Kelson, D. D., Meneghetti, M., Jha, S., Benitez, N., Lemze, D., Umetsu, K., Broadhurst, T., Moustakas, J., Rosati, P., Bartelmann, M., Ford, H., Graves, G., Grillo, C., Infante, L., Jiminez-Teja, Y., Jouvel, S., Lahav, O., Maoz, D., Medezinski, E., Melchior, P., Merten, J., Nonino, M., Ogaz, S., and Seitz, S., “A 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~9.2”, Astrophysical Journal, 2012.
A. B. Bradford and Atchison, W. D., “Methylmercury (MeHg) disrupts fluo4 fluorescence in cerebellar slices from GABAA receptor alpha6 (-/-) mice”. Society of Toxicology 2012, San Francisco, CA, 2012.
B. A. Brown and Rae, W. D. M., “The Shell-Model Code NuShellX@MSU”, Nuclear Data Sheets, vol. 120, 2014.
B. A. Brown and Larsen, R. C., “Large Low-Energy M1 Strength for 56,57Fe Within the Nuclear Shell Model”, PHYSICAL REVIEW LETTERS, vol. 113, 2014.
S. S. Bucak, Jin, R., and Jain, A. K., “Multi-label Learning with Incomplete Class Assignments”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), 2011.
C. R. Buell, Adhikari, B., Savory, E., Vaillancourt, B., Childs, K. L., Hamilton, J. P., and Day, B., “Expression profiling of Cucumis sativus in response to infection by Pseudoperonospora cubensis”, PLoS ONE, in press, 2012.
J. O. Burns, Skillman, S. W., and O'Shea, B. W., “Galaxy Clusters at the Edge: Temperature, Entropy, and Gas Dynamics Near the Virial Radius”, \apj, vol. 721, pp. 1105-1112, 2010.
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E. Castellanos, Benner, F., and Demir, S., “Taming salophen in rare earth metallocene chemistry”, Inorg. Chem. Front., p. -, 2022.
E. Castellanos and Demir, S., “Linear, Electron-Rich, Homoleptic Rare Earth Metallocene and Its Redox Activity”, Inorganic Chemistry, vol. 62, no. 5, pp. 2095 - 2104, 2023.
K. Chang, Kim, E., Weck, P. F., and Tománek, D., “Nanoconfinement effects on the reversibility of hydrogen storage in ammonia borane: A first-principles study”, J. Chem. Phys., vol. 134, p. 214501, 2011.
R. Chitta, Jin, R., Havens, T. C., and Jain, A. K., “Approximate kernel k-means: solution to large scale kernel clustering”, in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, San Diego, CA, USA, 2011, pp. 895–903.
J. Chocholouscaronová and Feig, M., “Balancing an accurate representation of the molecular surface in generalized born formalisms with integrator stability in molecular dynamics simulations”, Journal of Computational Chemistry, vol. 27, no. 6, pp. 719–729, 2006.
A. J. Christlieb, Macdonald, C. B., and Ong, B. W., “Parallel High-Order Integrators”, SIAM Journal on Scientific Computing, vol. 32, no. 2, pp. 818 - 835, 2010.
A. J. Christlieb, Haynes, R. D., and Ong, B. W., “A Parallel Space-Time Algorithm”, SIAM Journal on Scientific Computing, vol. 34, no. 5, pp. C233 - C248, 2012.
A. Christlieb and Ong, B., “Implicit Parallel Time Integrators”, Journal of Scientific Computing, vol. 49, no. 2, pp. 167 - 179, 2011.
A. Christlieb and Ong, B., “Implicit Parallel Time Integrators”, Journal of Scientific Computing, vol. 46, no. 1, 2010.
J. Clune, Beckmann, B. E., McKinley, P. K., and Ofria, C., “Investigating whether HyperNEAT produces modular neural networks”, in Proceedings of the Genetic and Evolutionary Computation Conference, 2010, pp. 635–642.
J. Clune, Stanley, K. O., Pennock, R. T., and Ofria, C., “On the Performance of Indirect Encoding Across the Continuum of Regularity”, IEEE Transactions on Evolutionary Computation, 2011.
J. Clune, Beckmann, B. E., Pennock, R. T., and Ofria, C., “HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation”, in Proceedings of the European Conference on Artificial Life, 2009.
J. Clune, Goldsby, H. J., Ofria, C., and Pennock, R. T., “Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory”, Proceedings of the Royal Society B: Biological Sciences, vol. 278, pp. 666-674, 2011.
J. Clune, Misevic, D., Ofria, C., Lenski, R. E., Elena, S. F., and Sanjuán, R., “Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes”, PLoS Computational Biology, vol. 4, p. e1000187, 2008.
J. Clune, Beckmann, B. E., Ofria, C., and Pennock, R. T., “Evolving coordinated quadruped gaits with the HyperNEAT generative encoding”, in Proceedings of the IEEE Congress on Evolutionary Computation, 2009, pp. 2764-2771.
J. Clune, Ofria, C., and Pennock, R. T., “How a generative encoding fares as problem-regularity decreases”, in Parallel Problem Solving from Nature, 2008, pp. 358–367.

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