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
Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification J. Blechschmidt Tom-Christian Riemer M. Winkler Martin Stoll Jan-F. Pietschmann 19 0 0 07 May 2025
Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations Yue Li L. Zhang AI4CE 23 1 0 13 Apr 2025
Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization Qiankun Shi Xiao Wang Hao Wang 25 0 0 13 Apr 2025
A discrete physics-informed training for projection-based reduced order models with neural networks N. Sibuet S. A. D. Parga J. R. Bravo R. Rossi 27 0 0 31 Mar 2025
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 41 0 0 27 Mar 2025
Neural Variable-Order Fractional Differential Equation Networks Wenjun Cui Qiyu Kang Xuhao Li Kai Zhao Wee Peng Tay Weihua Deng Yidong Li 54 1 0 20 Mar 2025
Neural Tangent Kernel of Neural Networks with Loss Informed by Differential Operators Weiye Gan Yicheng Li Q. Lin Zuoqiang Shi 34 0 0 14 Mar 2025
From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs Rohan Bhatnagar Ling Liang Krish Patel Haizhao Yang 36 0 0 13 Mar 2025
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting Weiyan Wang Xingjian Shi Ruiqi Shu Yuan Gao Rui Chen ... Shuaipeng Li Yangyu Tao Di Wang Hao Wu Xiaomeng Huang 59 0 0 26 Feb 2025
Sampling-based Distributed Training with Message Passing Neural Network P. Kakka Sheel Nidhan Rishikesh Ranade Jay Pathak J. MacArt GNN 75 3 0 20 Feb 2025
Finite Element Operator Network for Solving Elliptic-type parametric PDEs Jae Yong Lee Seungchan Ko Youngjoon Hong 97 2 0 20 Feb 2025
DGNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Yaohua Zang P. Koutsourelakis AI4CE 49 0 0 10 Feb 2025
Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space Pedro Tarancón-Álvarez Pablo Tejerina-Pérez Raul Jimenez P. Protopapas AI4CE PINN 39 0 0 21 Jan 2025
Point-DeepONet: A Deep Operator Network Integrating PointNet for Nonlinear Analysis of Non-Parametric 3D Geometries and Load Conditions Jangseop Park Namwoo Kang AI4CE 3DPC 50 1 0 24 Dec 2024
Symplectic Neural Flows for Modeling and Discovery Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov 78 1 0 21 Dec 2024
Future Research Avenues for Artificial Intelligence in Digital Gaming: An Exploratory Report Markus Dablander 73 0 0 18 Dec 2024
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model Yuqiu Liu Jingxuan Xu Mauricio Soroco Yunchao Wei Wuyang Chen AI4CE 67 2 0 18 Dec 2024
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin Models Muhammad Saad Zia Ashiq Anjum Lu Liu Anthony Conway Anasol Pena Rios PINN AI4CE 64 0 0 18 Nov 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 39 0 0 10 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases Madison Cooley Varun Shankar Robert M. Kirby Shandian Zhe 22 2 0 04 Oct 2024
CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series Luca Castri Sariah Mghames Marc Hanheide Nicola Bellotto CML 24 1 0 03 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 32 1 0 03 Oct 2024
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Sophie Fellenz Sophie Fellenz PINN 3DPC 37 0 0 30 Sep 2024
Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics David Millard Arielle Carr Stéphane Gaudreault 25 3 0 10 Sep 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies A. Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 58 0 0 10 Sep 2024
LeMON: Learning to Learn Multi-Operator Networks Jingmin Sun Zecheng Zhang Hayden Schaeffer 18 5 0 28 Aug 2024
General-Kindred Physics-Informed Neural Network to the Solutions of Singularly Perturbed Differential Equations Sen Wang Peizhi Zhao Qinglong Ma Tao Song PINN 16 2 0 27 Aug 2024
Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots Tom Z. Jiahao Ryan Adolf Cynthia Sung M. Ani Hsieh 30 0 0 14 Aug 2024
Model Based and Physics Informed Deep Learning Neural Network Structures A. Mohammad-Djafari Ning Chu Li Wang Caifang Cai Liang Yu PINN 33 0 0 13 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE Zhi-Song Liu Petri S. Clusius Michael Boy 36 3 0 03 Aug 2024
Weak neural variational inference for solving Bayesian inverse problems without forward models: applications in elastography Vincent C. Scholz Yaohua Zang P. Koutsourelakis 22 2 0 30 Jul 2024
Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics Naichen Shi Hao Yan Shenghan Guo Raed Al Kontar DiffM AI4CE 22 0 0 25 Jul 2024
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks Spyros Rigas M. Papachristou Theofilos Papadopoulos Fotios Anagnostopoulos Georgios Alexandridis AI4CE 29 21 0 24 Jul 2024
Bayesian Entropy Neural Networks for Physics-Aware Prediction R. Rathnakumar Jiayu Huang Hao Yan Yongming Liu 19 2 0 01 Jul 2024
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis Alejandro Ribés Nawfal Benchekroun Théo Delagnes AI4CE 25 1 0 27 Jun 2024
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior Seungchan Ko Sang Hyeon Park 27 1 0 10 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics Jing Qiu Jiancheng Huang Xiangdong Zhang Zeng Lin Minglei Pan Zengding Liu F. Miao AI4CE 24 3 0 06 Jun 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 21 3 0 29 May 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz M. Girolami Andrew M. Stuart A. Vadeboncoeur 23 1 0 28 May 2024
Sparse $L^1$ -Autoencoders for Scientific Data Compression Matthias Chung Rick Archibald Paul Atzberger Jack Michael Solomon 15 1 0 23 May 2024
Multi-fidelity Hamiltonian Monte Carlo Dhruv V. Patel Jonghyun Lee Matthew W. Farthing P. Kitanidis Eric F. Darve 40 0 0 08 May 2024
Adaptive deep density approximation for stochastic dynamical systems Junjie He Qifeng Liao Xiaoliang Wan 19 2 0 05 May 2024
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations Shahed Rezaei Reza Najian Asl S. Faroughi Mahdi Asgharzadeh Ali Harandi Rasoul Najafi Koopas G. Laschet Stefanie Reese Markus Apel AI4CE 21 4 0 28 Mar 2024
Learning-based Multi-continuum Model for Multiscale Flow Problems Fan Wang Yating Wang Wing Tat Leung Zongben Xu AI4CE 25 0 0 21 Mar 2024
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling? Gianmarco Guglielmo A. Montessori J. Tucny M. Rocca P. Prestininzi AI4CE 16 3 0 13 Mar 2024
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems Chu Wang Jinhong Wu Yanzhi Wang Zhijian Zha Qi Zhou PINN 11 3 0 02 Mar 2024
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures R. B. Bond Pu Ren J. Hajjar Hao-Lun Sun AI4CE 16 1 0 28 Feb 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Jialin Song Pu Ren Shashank Subramanian Dmitriy Morozov Michael W. Mahoney AI4CE 30 9 0 24 Feb 2024
Deep adaptive sampling for surrogate modeling without labeled data Xili Wang Keju Tang Jiayu Zhai Xiaoliang Wan Chao Yang 17 2 0 17 Feb 2024
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics Michael Penwarden H. Owhadi Robert M. Kirby AI4CE 14 1 0 16 Feb 2024