Physics-Informed Computer Vision: A Review and Perspectives

被引:0
|
作者
Banerjee, Chayan [1 ]
Nguyen, Kien [1 ]
Fookes, Clinton [1 ]
George, Karniadakis [2 ]
机构
[1] School of Electrical Engneering and Robotics, Queensland University of Technology, Brisbane,QLD, Australia
[2] School of Engineering, Brown University, Providence,RI, United States
关键词
263;
D O I
10.1145/3689037
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] A Review of Physics-Informed Machine Learning in Fluid Mechanics
    Sharma, Pushan
    Chung, Wai Tong
    Akoush, Bassem
    Ihme, Matthias
    ENERGIES, 2023, 16 (05)
  • [2] Physics-Informed Quantum Communication Networks: A Vision Toward the Quantum Internet
    Chehimi, Mahdi
    Saad, Walid
    IEEE NETWORK, 2022, 36 (05): : 32 - 38
  • [3] Separable physics-informed DeepONet: Breaking the curse of dimensionality in physics-informed machine learning
    Mandl, Luis
    Goswami, Somdatta
    Lambers, Lena
    Ricken, Tim
    Computer Methods in Applied Mechanics and Engineering, 2025, 434
  • [4] Physics-informed machine learning
    George Em Karniadakis
    Ioannis G. Kevrekidis
    Lu Lu
    Paris Perdikaris
    Sifan Wang
    Liu Yang
    Nature Reviews Physics, 2021, 3 : 422 - 440
  • [5] Physics-informed machine learning
    Karniadakis, George Em
    Kevrekidis, Ioannis G.
    Lu, Lu
    Perdikaris, Paris
    Wang, Sifan
    Yang, Liu
    NATURE REVIEWS PHYSICS, 2021, 3 (06) : 422 - 440
  • [6] Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors
    Spitieris, Michail
    Steinsland, Ingelin
    JOURNAL OF MACHINE LEARNING RESEARCH, 2023, 24
  • [7] Physics-Informed Satellite Cybersecurity
    Calabrese, Matteo
    Falco, Gregory
    COMPUTER, 2024, 57 (05) : 106 - 109
  • [8] Physics-Informed Graph Learning
    Peng, Ciyuan
    Xia, Feng
    Saikrishna, Vidya
    Liu, Huan
    2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, 2022, : 732 - 739
  • [9] Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning
    De Ryck, Tim
    Mishra, Siddhartha
    ACTA NUMERICA, 2024, 33 : 633 - 713
  • [10] Physics-informed neural networks (PINNs) for fluid mechanics: a review
    Shengze Cai
    Zhiping Mao
    Zhicheng Wang
    Minglang Yin
    George Em Karniadakis
    Acta Mechanica Sinica, 2021, 37 : 1727 - 1738