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pro vyhledávání: '"Geng, Yuwei"'
We propose an efficient end-to-end deep learning method for solving nonlocal Allen-Cahn (AC) and Cahn-Hilliard (CH) phase-field models. One motivation for this effort emanates from the fact that discretized partial differential equation-based AC or C
Externí odkaz:
http://arxiv.org/abs/2410.08914
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, Volume 427, 2024, 117033
Hamiltonian Operator Inference has been introduced in [Sharma, H., Wang, Z., Kramer, B., Physica D: Nonlinear Phenomena, 431, p.133122, 2022] to learn structure-preserving reduced-order models (ROMs) for Hamiltonian systems. This approach constructs
Externí odkaz:
http://arxiv.org/abs/2401.12138
Publikováno v:
In Journal of Computational Physics 1 January 2024 496
