基本信息
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Bio
Chris' research and software is focused on Scientific Machine Learning (SciML): the integration of domain models with artificial intelligence techniques like machine learning. By utilizing the structured scientific (differential equation) models together with the unstructured data-driven models of machine learning, our simulators can be accelerated, our science can better approximate the true systems, all while enjoying the robustness and explainability of mechanistic dynamical models.
Research Interests
Papers共 106 篇Author StatisticsCo-AuthorSimilar Experts
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JuliaCon Proceedingsno. 58 (2024)
Christopher Vincent Rackauckas, Anas Abdelrehim
crossref(2024)
Journal of integrative bioinformaticsno. 0 (2024)
Utkarsh Utkarsh,Valentin Churavy,Yingbo Ma,Tim Besard, Prakitr Srisuma, Tim Gymnich,Adam R. Gerlach,Alan Edelman,George Barbastathis,Richard D. Braatz,Christopher Rackauckas
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2024): 116591-116591
Biogeosciencesno. 13 (2023): 2671-2692
Nature Reviews Earth & Environmentno. 8 (2023): 552-567
CoRR (2023)
arXiv (Cornell University) (2023): 26809-26819
arXiv (Cornell University) (2023)
NATURE METHODS (2023)
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