PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning

1 November 2021

Papers citing "PDE-READ: Human-readable Partial Differential Equation Discovery using Deep Learning"

5 / 5 papers shown

Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du Jiacheng Li Adrian H. Callaghan Dongxiao Zhang 34 0 0 09 May 2025
Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models Kaiyuan Tan Peilun Li Jun Wang Thomas Beckers AI4CE 29 0 0 24 Apr 2025
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification Siva Viknesh Younes Tatari Amirhossein Arzani 39 1 0 21 Oct 2024
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data R. Stephany Christopher Earls 16 16 0 09 Dec 2022
Noise-aware Physics-informed Machine Learning for Robust PDE Discovery Pongpisit Thanasutives Takeshi Morita M. Numao Ken-ichi Fukui PINN AI4CE 31 18 0 26 Jun 2022