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Differentiable Fluids with Solid Coupling for Learning and Control
Author(s) -
Tetsuya Takahashi,
Junbang Liang,
Yi-Ling Qiao,
Ming C. Lin
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i7.16764
Subject(s) - differentiable function , coupling (piping) , computer science , computation , grid , boundary (topology) , artificial neural network , reinforcement learning , boundary value problem , inverse , gradient method , mathematical optimization , computational science , artificial intelligence , algorithm , mathematics , mathematical analysis , geometry , mechanical engineering , engineering

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