An extended physics informed neural network for preliminary analysis of
parametric optimal control problems

An extended physics informed neural network for preliminary analysis of parametric optimal control problems

26 October 2021

Papers citing "An extended physics informed neural network for preliminary analysis of parametric optimal control problems"

12 / 12 papers shown

Title
Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks A. Celaya Yimo Wang David T. Fuentes Beatrice Riviere 38 0 0 12 Feb 2025
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
Learning solutions of parametric Navier-Stokes with physics-informed neural networks M. Naderibeni Marcel J. T. Reinders L. Wu David Tax PINN 8 2 0 05 Feb 2024
TSONN: Time-stepping-oriented neural network for solving partial differential equations W. Cao Weiwei Zhang AI4TS 11 1 0 25 Oct 2023
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System Yongcheng Dai Bangti Jin R. Sau Zhi Zhou 12 4 0 23 Aug 2023
VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations Bin Shan Ye Li Sheng-Jun Huang PINN 8 2 0 30 Nov 2022
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 17 48 0 05 Aug 2022
Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data Philipp Heger Markus Full Daniel Hilger N. Hosters AI4CE 9 9 0 17 Mar 2022
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities Mengwu Guo Andrea Manzoni Maurice Amendt Paolo Conti J. Hesthaven 68 95 0 26 Feb 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 755 0 13 Mar 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition E. Kharazmi Zhongqiang Zhang George Karniadakis 107 503 0 11 Mar 2020
$All-Optical Machine Learning Using Diffractive Deep Neural Networks$ All-Optical Machine Learning Using Diffractive Deep Neural Networks Xing Lin Y. Rivenson N. Yardimci Muhammed Veli Mona Jarrahi Aydogan Ozcan 59 1,596 0 14 Apr 2018