Kristofer Reyes
PhD
Research Topics
Applied mathematics for computational chemistry and materials science; machine learning algorithms applied to materials science; kinetic Monte Carlo methods in materials simulation
Publications
- “Full degree two del Pezzo Surfaces over Small Finite Fields.” A. Knecht, K. Reyes. Contemporary Developments in Finite Fields and Applications. 2016
- “Nested batch mode learning and stochastic optimization with an application to sequential multi-stage testing in materials science. Y. Wang, K. Reyes, K. A. Brown, C. A. Mirkin, W. B. Powell. SIAM J. Scientific Computing. 2015
- “Optimal learning in experimental design using the Knowledge Gradient policy with application to characterizing nanoemulsion stability.” S. Chen, K. Reyes, M. Gupta, M. McApline, W. B. Powell. SIAM Journal on Uncertainty Quantification. 2015
- “Quantifying the experimental choices in ensemble averaging and extrapolated estimation in the con- text of Optimal Learning and materials design. K. Reyes, S. Chen, Y. Li, W. B. Powell. Proceedings in Computational Modeling and Stochastic Methods for Materials Discovery and Properties. 2015.
- “Ordered arrays of embedded Ga nanoparticles on patterned silicon substrates.” M. Bollani, S. Bietti, C. Frigeri, D. Chrastina, K. Reyes, P. Smereka, J.M. Millunchick, G.M. Vanacore, M. Burghammer, A. Tagliaferri, and S. Sanguinetti. Nanotechnology 25 (20). 2014
- “Fast Kinetic Monte Carlo simulations using hash table based caching with applications to nanowire growth and sintering.” K. Reyes. SIAM Journal on Multiscale Modeling and Simulation 12 (1). 2014
- “Mechanisms of ring and island formation in lattice mismatched droplet epitaxy.” M. DeJarld, K. Reyes, P. Smereka, and J.M. Millunchick. Applied Physics Letters 102 (13). 2013
- “Unified model of droplet epitaxy for compound semiconductor nanostructures: experiments and theory.” K. Reyes, P. Smereka, D. Nothern, J.M. Millunchick, S. Bietti, C. Somaschini, C. Frigeri and S. Sanguinetti. Physical Review B 87 (16). 2013