Physics-informed neural networks for PDE-constrained optimization and
control

Physics-informed neural networks for PDE-constrained optimization and control

6 May 2022

Jostein Barry-Straume

Andrey A. Popov

Papers citing "Physics-informed neural networks for PDE-constrained optimization and control"

13 / 13 papers shown

Title
Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems Josue N. Rivera Dengfeng Sun 28 0 0 02 Nov 2024
Physics-Informed Neural Networks with Trust-Region Sequential Quadratic Programming Xiaoran Cheng Sen Na PINN 21 1 0 16 Sep 2024
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models Matteo Tomasetto Andrea Manzoni Francesco Braghin AI4CE 13 1 0 09 Sep 2024
PINNIES: An Efficient Physics-Informed Neural Network Framework to Integral Operator Problems Alireza Afzal Aghaei Mahdi Movahedian Moghaddam Kourosh Parand 32 4 0 03 Sep 2024
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System Yongcheng Dai Bangti Jin R. Sau Zhi Zhou 20 4 0 23 Aug 2023
The Hard-Constraint PINNs for Interface Optimal Control Problems M. Lai Yongcun Song Xiaoming Yuan Hangrui Yue Tianyou Zeng PINN 17 1 0 13 Aug 2023
Accelerated primal-dual methods with enlarged step sizes and operator learning for nonsmooth optimal control problems Yongcun Song Xiaoming Yuan Hangrui Yue AI4CE 8 2 0 01 Jul 2023
The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach Yongcun Song Xiaoming Yuan Hangrui Yue PINN 19 6 0 16 Feb 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 21 87 0 15 Nov 2022
Solving PDE-constrained Control Problems Using Operator Learning Rakhoon Hwang Jae Yong Lee J. Shin H. Hwang AI4CE 109 43 0 09 Nov 2021
Improved architectures and training algorithms for deep operator networks Sifan Wang Hanwen Wang P. Perdikaris AI4CE 42 103 0 04 Oct 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 489 0 09 Feb 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 80 385 0 10 Mar 2020