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Number of items: 8. 2023Qiao, Zhuoran (2023) Physics-Informed Neural Approaches for Multiscale Molecular Modeling and Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/48d1-ja21. https://resolver.caltech.edu/CaltechTHESIS:12102022-055022458 2022Cheng, Lixue (2022) Accurate and Transferable Molecular-Orbital-Based Machine Learning for Molecular Modeling. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/cjak-4x38. https://resolver.caltech.edu/CaltechThesis:04012022-153013173 Kovachki, Nikola Borislavov (2022) Machine Learning and Scientific Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8nc5-cc67. https://resolver.caltech.edu/CaltechTHESIS:05252022-180406320 Stevens, Benjamin Carter (2022) Applications of Machine Learning to Finite Volume Methods. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/41qn-7n22. https://resolver.caltech.edu/CaltechTHESIS:02062022-203334930 2021London, Palma Alise den Nijs (2021) Frameworks for High Dimensional Convex Optimization. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/db29-am33. https://resolver.caltech.edu/CaltechTHESIS:08162020-233437139 Schäfer, Florian Tobias (2021) Inference, Computation, and Games. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/esyv-2181. https://resolver.caltech.edu/CaltechTHESIS:06082021-005706263 2020Cvitkovic, Michael William (Milan0 (2020) Deep Learning in Unconventional Domains. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/v7dm-6r52. https://resolver.caltech.edu/CaltechTHESIS:04082020-095943405 Le, Hoang Minh (2020) New Frameworks for Structured Policy Learning. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/rz4w-k233. https://resolver.caltech.edu/CaltechTHESIS:06092020-121556493 |
