清华主页 EN
导航菜单

Physics-Informed Neural Networks for Scientific Computations: Algorithms and Applications

来源: 10-08

时间:13 October 2022 (Thursday) 9:00 a.m.

地点:BIMSA 1129B Zoom: 537 192 5549 PW: BIMSA

主讲人:Ameya D. Jagtap


返回顶部
相关文章
  • Physics-informed neural networks for solving differential equations

    PrerequisiteKnowledges on mathematical physics equations, deep neural networks and the Python language.AbstractDifferential equations can describe various natural and social phenomena. The physics-informed neural networks (PINNs), as a deep learning framework, is a powerful and effective way in solving forward and inverse problems involving differential equations. The course will review the pub...

  • Chow-Witt rings: Computations and Applications

    The Yanqi Lake Beijing Institute of Mathematical Sciences and Applications (BIMSA) is going to hold a summer school named « Chow-Witt rings: Computations and Applications ». As its name indicates, the program contains short lectures explaining basic concepts and methods and research talks focusing on recent advances involving Chow-Witt rings, such as computations on projective varieties, applic...