Theory-guided hard constraint projection (HCP): a knowledge-based
data-driven scientific machine learning method

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method

11 December 2020

Papers citing "Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method"

17 / 17 papers shown

Title
An explainable operator approximation framework under the guideline of Green's function Jianghang Gu Ling Wen Yuntian Chen Shiyi Chen 74 0 0 21 Dec 2024
A nudge to the truth: atom conservation as a hard constraint in models of atmospheric composition using an uncertainty-weighted correction Patrick Obin Sturm Sam J. Silva 30 0 0 28 Aug 2024
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning Zhongzheng Wang Yuntian Chen Guodong Chen Dongxiao Zhang AI4CE 31 0 0 07 Jun 2024
Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework Dashan Zhang Yuntian Chen Shiyi Chen AI4CE 32 2 0 07 Nov 2023
A New Computationally Simple Approach for Implementing Neural Networks with Output Hard Constraints A. Konstantinov Lev V. Utkin 27 10 0 19 Jul 2023
Worth of knowledge in deep learning Hao Xu Yuntian Chen Dong-juan Zhang 18 0 0 03 Jul 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings H. Cao Y. Mao L. Sha Marco Caccamo PINN AI4CE 34 5 0 26 May 2023
Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations Shuang Hu Meiqin Liu Senlin Zhang Shanling Dong Ronghao Zheng PINN 14 6 0 21 Apr 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 35 91 0 15 Nov 2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning Jiaxin Gao Wenbo Hu Dongxiao Zhang Yuntian Chen AI4TS AI4CE 39 2 0 05 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek F. Abdelzaher PINN AI4CE 34 1 0 27 Sep 2022
AutoKE: An automatic knowledge embedding framework for scientific machine learning Mengge Du Yuntian Chen Dongxiao Zhang AI4CE 33 11 0 11 May 2022
An Intriguing Property of Geophysics Inversion Yinan Feng Yinpeng Chen Shihang Feng Peng Jin Zicheng Liu Youzuo Lin 44 12 0 28 Apr 2022
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 28 31 0 15 Feb 2022
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE) Yuntian Chen Yingtao Luo Qiang Liu Hao Xu Dongxiao Zhang AI4CE 25 56 0 09 Jun 2021
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 53 4 0 02 Jun 2021
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications E. Samaniego C. Anitescu S. Goswami Vien Minh Nguyen-Thanh Hongwei Guo Khader M. Hamdia Timon Rabczuk X. Zhuang PINN AI4CE 159 1,342 0 27 Aug 2019