Introduction to this special section: Generative and physics-informed AI

被引：0
|
作者：
Ovcharenko, Oleg [1 ]
Di, Haibin [2 ]
Waheed, Umair Bin [3 ]
Kazei, Vladimir [4 ]
机构：
[1] NVIDIA, Dubai, United Arab Emirates
[2] SLB, Houston,TX, United States
[3] King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
[4] Aramco Americas, Houston,TX, United States
来源：
Leading Edge | 2025年 / 44卷 / 02期
关键词：
D O I：
10.1190/tle44020078.1
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Physics-Informed Generative Adversarial Network Solution to Buckley-Leverett Equation
    Ma, Xianlin
    Li, Chengde
    Zhan, Jie
    Zhuang, Yupeng
    MATHEMATICS, 2024, 12 (23)
  • [22] TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification
    Mo, Zhaobin
    Fu, Yongjie
    Xu, Daran
    Di, Xuan
    MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT III, 2023, 13715 : 323 - 339
  • [23] A Physics-Informed Generative Car-Following Model for Connected Autonomous Vehicles
    Ma, Lijing
    Qu, Shiru
    Song, Lijun
    Zhang, Zhiteng
    Ren, Jie
    ENTROPY, 2023, 25 (07)
  • [24] A physics-informed generative adversarial network framework for multiaxial fatigue life prediction
    He, GaoYuan
    Zhao, YongXiang
    Yan, ChuLiang
    FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2023, 46 (10) : 4036 - 4052
  • [25] 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
  • [26] 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
  • [27] 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
  • [28] PHYSICS-INFORMED DEEP AI SIMULATION FOR FRACTAL INTEGRO-DIFFERENTIAL EQUATION
    Li, Xuejuan
    Zhao, Rui
    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2024, 32 (01)
  • [29] Physics-Informed Satellite Cybersecurity
    Calabrese, Matteo
    Falco, Gregory
    COMPUTER, 2024, 57 (05) : 106 - 109
  • [30] Physics-Informed Graph Learning
    Peng, Ciyuan
    Xia, Feng
    Saikrishna, Vidya
    Liu, Huan
    2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, 2022, : 732 - 739
12345