Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data

18 January 2019

Papers citing "Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data"

50 / 297 papers shown

Title
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 26 3 0 24 Nov 2022
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data Jian Cheng Wong P. Chiu C. Ooi My Ha Da 32 3 0 22 Nov 2022
Physics-Informed Koopman Network Yuying Liu A. Sholokhov Hassan Mansour S. Nabi AI4CE 28 3 0 17 Nov 2022
Physics-informed neural networks for operator equations with stochastic data Paul Escapil-Inchauspé G. A. Ruz 29 2 0 15 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 27 48 0 14 Nov 2022
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows Ivan Zanardi Simone Venturi M. Panesi AI4CE 57 17 0 27 Oct 2022
$Adaptive deep density approximation for fractional Fokker-Planck equations$ Adaptive deep density approximation for fractional Fokker-Planck equations Li Zeng Xiaoliang Wan Tao Zhou 13 5 0 26 Oct 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun Yang Liu 44 41 0 25 Oct 2022
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks Shibo Li Michael Penwarden Yiming Xu Conor Tillinghast Akil Narayan Robert M. Kirby Shandian Zhe AI4CE 16 4 0 23 Oct 2022
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 13 1 0 21 Oct 2022
Probabilistic partition of unity networks for high-dimensional regression problems Tiffany Fan N. Trask M. DÉlia Eric F. Darve 11 1 0 06 Oct 2022
Solving Coupled Differential Equation Groups Using PINO-CDE Wenhao Ding Qing He Hanghang Tong Qingjing Wang Ping Wang OOD AI4CE 27 4 0 01 Oct 2022
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator Bian Li Hanchen Wang Shihang Feng Xiu Yang Youzuo Lin 65 33 0 25 Sep 2022
Approximating the full-field temperature evolution in 3D electronic systems from randomized "Minecraft" systems Monika Stipsitz H. Sanchis-Alepuz AI4CE 13 2 0 21 Sep 2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations Shihong Zhang Chi Zhang Bo Wang AI4CE 19 3 0 06 Sep 2022
A variational neural network approach for glacier modelling with nonlinear rheology Tiangang Cui Zhongjian Wang Zhiwen Zhang 24 4 0 05 Sep 2022
Deep importance sampling using tensor trains with application to a priori and a posteriori rare event estimation Tiangang Cui S. Dolgov Robert Scheichl 41 3 0 05 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling Yingtao Luo Chang Xu Yang Liu Weiqing Liu Shun Zheng Jiang Bian AI4TS 39 8 0 03 Sep 2022
From latent dynamics to meaningful representations Dedi Wang Yihang Wang Luke J. Evans P. Tiwary AI4CE 32 7 0 02 Sep 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies Adam Thelen Xiaoge Zhang Olga Fink Yan Lu Sayan Ghosh B. Youn Michael D. Todd S. Mahadevan Chao Hu Zhen Hu SyDa AI4CE 27 187 0 26 Aug 2022
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 25 36 0 25 Aug 2022
Wave simulation in non-smooth media by PINN with quadratic neural network and PML condition Yanqi Wu H. Aghamiry S. Operto Jianwei Ma 11 1 0 16 Aug 2022
Fully probabilistic deep models for forward and inverse problems in parametric PDEs A. Vadeboncoeur Ömer Deniz Akyildiz Ieva Kazlauskaite Mark Girolami F. Cirak AI4CE 23 17 0 09 Aug 2022
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs Emilia Magnani Nicholas Kramer Runa Eschenhagen Lorenzo Rosasco Philipp Hennig UQCV BDL 13 9 0 02 Aug 2022
Physics-informed Deep Super-resolution for Spatiotemporal Data Pu Ren Chengping Rao Yang Liu Zihan Ma Qi Wang Jianxin Wang Hao Sun 24 13 0 02 Aug 2022
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems Yating Wang W. Leung Guang Lin 11 1 0 24 Jul 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 26 22 0 16 Jul 2022
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations S. Shekarpaz Mohammad Azizmalayeri M. Rohban 23 4 0 14 Jul 2022
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks Shashank Subramanian Robert M. Kirby Michael W. Mahoney A. Gholami 30 25 0 08 Jul 2022
Physics-Informed Deep Neural Operator Networks S. Goswami Aniruddha Bora Yue Yu George Karniadakis PINN AI4CE 31 99 0 08 Jul 2022
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems S. Pourtakdoust Amir H. Khodabakhsh 33 12 0 05 Jul 2022
The Deep Ritz Method for Parametric $p$ -Dirichlet Problems A. Kaltenbach Marius Zeinhofer 14 2 0 05 Jul 2022
opPINN: Physics-Informed Neural Network with operator learning to approximate solutions to the Fokker-Planck-Landau equation Jae Yong Lee J. Jang H. Hwang 9 9 0 05 Jul 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 35 2 0 12 Jun 2022
Multilayer Perceptron Based Stress Evolution Analysis under DC Current Stressing for Multi-segment Wires Tianshu Hou Peining Zhen N. Wong Quan Chen G. Shi Shuqi Wang Hai-Bao Chen 21 10 0 17 May 2022
A comparison of PINN approaches for drift-diffusion equations on metric graphs J. Blechschmidt Jan-Frederik Pietschman Tom-Christian Riemer Martin Stoll M. Winkler 16 2 0 15 May 2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data Xu Liu Wenjuan Yao Wei Peng Weien Zhou PINN AI4CE 46 25 0 14 May 2022
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification Che-Chia Chang T. Zeng GP 17 5 0 13 May 2022
AutoKE: An automatic knowledge embedding framework for scientific machine learning Mengge Du Yuntian Chen Dongxiao Zhang AI4CE 33 11 0 11 May 2022
GCN-FFNN: A Two-Stream Deep Model for Learning Solution to Partial Differential Equations Onur Bilgin Thomas Vergutz S. Mehrkanoon GNN 9 3 0 28 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 29 84 0 13 Apr 2022
MultiAuto-DeepONet: A Multi-resolution Autoencoder DeepONet for Nonlinear Dimension Reduction, Uncertainty Quantification and Operator Learning of Forward and Inverse Stochastic Problems Jiahao Zhang Shiqi Zhang Guang Lin 15 14 0 07 Apr 2022
PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations Jiahao Zhang Shiqi Zhang Guang Lin 35 3 0 06 Apr 2022
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems Teo Deveney E. Mueller T. Shardlow AI4CE 19 0 0 05 Apr 2022
SNUG: Self-Supervised Neural Dynamic Garments I. Santesteban M. Otaduy Dan Casas 3DH AI4CE 19 78 0 05 Apr 2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets Subhayan De Matthew J. Reynolds M. Hassanaly Ryan N. King Alireza Doostan AI4CE 26 37 0 03 Apr 2022
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps Raphael Leiteritz K. Davis Miriam Schulte Dirk Pflüger AI4CE 16 2 0 29 Mar 2022
Energy networks for state estimation with random sensors using sparse labels Y. Kumar S. Chakraborty 19 0 0 12 Mar 2022
Modeling the Shape of the Brain Connectome via Deep Neural Networks Haocheng Dai M. Bauer P. T. Fletcher S. Joshi MedIm DiffM 17 1 0 06 Mar 2022
WaveY-Net: Physics-augmented deep learning for high-speed electromagnetic simulation and optimization Ming-Keh Chen Robert Lupoiu Chenkai Mao Der-Han Huang Jiaqi Jiang P. Lalanne Jonathan A. Fan 20 19 0 02 Mar 2022