Scalable algorithms for physics-informed neural and graph networks

被引：0
|
作者：
Shukla, Khemraj [1 ]
Xu, Mengjia [1 ,2 ]
Trask, Nathaniel [3 ]
Karniadakis, George E. [1 ]
机构：
[1] Division of Applied Mathematics, Brown University, 182 George St, Providence,RI,02912, United States
[2] McGovern Institute for Brain Research, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge,MA,02139, United States
[3] Center for Computing Research, Sandia National Laboratories, 1451 Innovation Pkwy SE #600, Albuquerque,NM,87123, United States
来源：
Data-Centric Engineering | 2022年 / 3卷 / 06期
关键词：
All Open Access; Gold; Green;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
107
引用
收藏
相关论文
共 50 条
  • [31] Tackling the curse of dimensionality with physics-informed neural networks
    Hu, Zheyuan
    Shukla, Khemraj
    Karniadakis, George Em
    Kawaguchi, Kenji
    NEURAL NETWORKS, 2024, 176
  • [32] Boussinesq equation solved by the physics-informed neural networks
    Ruozhou Gao
    Wei Hu
    Jinxi Fei
    Hongyu Wu
    Nonlinear Dynamics, 2023, 111 : 15279 - 15291
  • [33] Design of Turing Systems with Physics-Informed Neural Networks
    Kho, Jordon
    Koh, Winston
    Wong, Jian Cheng
    Chiu, Pao-Hsiung
    Ooi, Chin Chun
    2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 1180 - 1186
  • [34] The application of physics-informed neural networks to hydrodynamic voltammetry
    Chen, Haotian
    Kaetelhoen, Enno
    Compton, Richard G.
    ANALYST, 2022, 147 (09) : 1881 - 1891
  • [35] Physics-Informed Neural Networks for Heat Transfer Problems
    Cai, Shengze
    Wang, Zhicheng
    Wang, Sifan
    Perdikaris, Paris
    Karniadakis, George E. M.
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 2021, 143 (06):
  • [36] Physics-Informed Neural Networks for Cardiac Activation Mapping
    Costabal, Francisco Sahli
    Yang, Yibo
    Perdikaris, Paris
    Hurtado, Daniel E.
    Kuhl, Ellen
    FRONTIERS IN PHYSICS, 2020, 8
  • [37] PHYSICS-INFORMED NEURAL NETWORKS FOR MODELING LINEAR WAVES
    Sheikholeslami, Mohammad
    Salehi, Saeed
    Mao, Wengang
    Eslamdoost, Arash
    Nilsson, Hakan
    PROCEEDINGS OF ASME 2024 43RD INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, OMAE2024, VOL 9, 2024,
  • [38] Physics-Informed Neural Networks with Group Contribution Methods
    Babaei, Mohammad Reza
    Stone, Ryan
    Knotts, Thomas Allen
    Hedengren, John
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2023, 19 (13) : 4163 - 4171
  • [39] Adversarial uncertainty quantification in physics-informed neural networks
    Yang, Yibo
    Perdikaris, Paris
    JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 394 : 136 - 152
  • [40] Multifidelity modeling for Physics-Informed Neural Networks (PINNs)
    Penwarden, Michael
    Zhe, Shandian
    Narayan, Akil
    Kirby, Robert M.
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 451
12345