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M. M. Noack, H. Krishnan, M. D. Risser, and K. G. Reyes. "Exact Gaussian processes for massive datasets via non-stationary sparsity-discovering kernels." Scientific Reports 13, no. 1 (2023): 3155. Nature Publishing Group UK London.
A. A. Volk, R. W. Epps, D. T. Yonemoto, B. S. Masters, F. N. Castellano, K. G. Reyes, and M. Abolhasani. "AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning." Nature Communications 14, no. 1 (2023): 1403. Nature Publishing Group UK London.
K. G. Reyes, J. Liu, and C. J. D. Vargas. "Decision-making under uncertainty for multi-stage pipelines: simulation studies to benchmark screening strategies." JOM 74, no. 8 (2022): 2897–2907. Springer US New York.
E. Stach, B. DeCost, A. G. Kusne, J. Hattrick-Simpers, K. A. Brown, K. G. Reyes, J. Schrier, S. Billinge, T. Buonassisi, I. Foster, et al. "Autonomous experimentation systems for materials development: A community perspective." Matter 4, no. 9 (2021): 2702–2726. Elsevier.
S. Baek and K. G. Reyes. "Problem-fluent models for complex decision-making in autonomous materials research." Computational Materials Science 193 (2021): 110385. Elsevier.
A. E. Gongora, B. Xu, W. Perry, C. Okoye, P. Riley, K. G. Reyes, E. F. Morgan, and K. A. Brown. "A Bayesian experimental autonomous researcher for mechanical design." Science Advances 6, no. 15 (2020): eaaz1708. American Association for the Advancement of Science.
R. W. Epps, M. S. Bowen, A. A. Volk, K. Abdel-Latif, S. Han, K. G. Reyes, A. Amassian, and M. Abolhasani. "Artificial chemist: an autonomous quantum dot synthesis bot." Advanced Materials 32, no. 30 (2020): 2001626.
S. Chen, K. G. Reyes, M. K. Gupta, M. C. McAlpine, and W. B. Powell. "Optimal learning in experimental design using the knowledge gradient policy with application to characterizing nanoemulsion stability." SIAM/ASA Journal on Uncertainty Quantification 3, no. 1 (2015): 320–345. Society for Industrial and Applied Mathematics.
K. Reyes, P. Smereka, D. Nothern, J. M. Millunchick, S. Bietti, C. Somaschini, S. Sanguinetti, and C. Frigeri. "Unified model of droplet epitaxy for compound semiconductor nanostructures: experiments and theory." Physical Review B 87, no. 16 (2013): 165406. American Physical Society.
K. Reyes. "Fast Kinetic Monte Carlo Simulations Using Hash Table Based Caching with Applications to Nanowire Growth and Sintering." SIAM Journal on Multiscale Modeling and Simulation 12, no. 1 (2014): 200–224. Society for Industrial and Applied Mathematics.