DeepXDE: A deep learning library for solving differential equations

10 July 2019

Papers citing "DeepXDE: A deep learning library for solving differential equations"

50 / 483 papers shown

Title
A Surrogate Model for the Forward Design of Multi-layered Metasurface-based Radar Absorbing Structures Vineetha Joy Aditya Anand Nidhi Anshuman Kumar Amit Sethi Hema Singh 21 0 0 14 May 2025
Reliable and Efficient Inverse Analysis using Physics-Informed Neural Networks with Distance Functions and Adaptive Weight Tuning Shota Deguchi Mitsuteru Asai PINN AI4CE 81 0 0 25 Apr 2025
Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module Jeesuk Shin Cheolwoong Kim Sunwoong Yang Minseo Lee S. J. Kim J. Jeon 27 0 0 23 Apr 2025
How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings Samuel Audia S. Feizi Matthias Zwicker Dinesh Manocha 28 0 0 18 Apr 2025
Physics Informed Constrained Learning of Dynamics from Static Data Pengtao Dang Tingbo Guo Melissa Fishel Guang Lin Wenzhuo Wu Sha Cao Chi Zhang PINN AI4CE 54 0 0 17 Apr 2025
RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs Zhenao Song 33 0 0 17 Apr 2025
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 43 0 0 14 Apr 2025
DUE: A Deep Learning Framework and Library for Modeling Unknown Equations Junfeng Chen Kailiang Wu D. Xiu 25 0 0 14 Apr 2025
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows Huaguan Chen Yang Liu Hao Sun PINN AI4CE 53 0 0 08 Apr 2025
Learning Dual-Arm Coordination for Grasping Large Flat Objects Yongliang Wang H. Kasaei 34 0 0 04 Apr 2025
Provably accurate adaptive sampling for collocation points in physics-informed neural networks Antoine Caradot Rémi Emonet Amaury Habrard Abdel-Rahim Mezidi M. Sebban 44 0 0 01 Apr 2025
Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings Christopher Straub Philipp Brendel Vlad Medvedev A. Rosskopf 43 0 0 01 Apr 2025
Physics-informed neural networks for hidden boundary detection and flow field reconstruction Yongzheng Zhu Weizheng Chen Jian Deng Xin Bian PINN AI4CE 56 0 0 31 Mar 2025
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks Oscar L. Cruz-González Valérie Deplano Badih Ghattas MedIm AI4CE 44 0 0 19 Mar 2025
Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout Bharat Srikishan Daniel O'Malley Mohamed Mehana Nicholas Lubbers Nikhil Muralidhar AI4CE 50 0 0 13 Mar 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 73 2 0 08 Mar 2025
REAct: Rational Exponential Activation for Better Learning and Generalization in PINNs Sourav Mishra Shreya Hallikeri Suresh Sundaram AI4CE 48 0 0 04 Mar 2025
Finite Element Operator Network for Solving Elliptic-type parametric PDEs Jae Yong Lee Seungchan Ko Youngjoon Hong 105 5 0 20 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 114 0 0 13 Feb 2025
Al-Khwarizmi: Discovering Physical Laws with Foundation Models Christopher E. Mower Haitham Bou-Ammar AI4CE 79 1 0 03 Feb 2025
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations Haoyang Zheng Guang Lin AI4CE 50 0 0 01 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yi Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space Pedro Tarancón-Álvarez Pablo Tejerina-Pérez Raul Jimenez P. Protopapas AI4CE PINN 44 0 0 21 Jan 2025
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines Hwijae Son 51 0 0 17 Jan 2025
Physics-informed deep learning for infectious disease forecasting Y. Qian Éric Marty Avranil Basu Avranil Basu Eamon B. O'Dea Xianqiao Wang Spencer Fox Pejman Rohani John M. Drake He Li PINN AI4CE 80 2 0 16 Jan 2025
Orthogonal greedy algorithm for linear operator learning with shallow neural network Ye Lin Jiwei Jia Young Ju Lee Ran Zhang 42 1 0 06 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 60 1 0 24 Dec 2024
Solving Nonlinear Energy Supply and Demand System Using Physics-Informed Neural Networks Van Truong Vo Samad Noeiaghdam D. N. Sidorov A. Dreglea Liguo Wang PINN 81 0 0 22 Dec 2024
jinns: a JAX Library for Physics-Informed Neural Networks Hugo Gangloff Nicolas Jouvin AI4CE 76 0 0 18 Dec 2024
FBSJNN: A Theoretically Interpretable and Efficiently Deep Learning method for Solving Partial Integro-Differential Equations Zaijun Ye Wansheng Wang 75 0 0 15 Dec 2024
ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning Nilo Schwencke Cyril Furtlehner 69 1 0 14 Dec 2024
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Sumanth Kumar Boya Deepak Subramani AI4CE 96 0 0 12 Dec 2024
PACMANN: Point Adaptive Collocation Method for Artificial Neural Networks Coen Visser Alexander Heinlein Bianca Giovanardi 64 0 0 29 Nov 2024
Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems T. Anandh Divij Ghose Himanshu Jain Pratham Sunkad Sashikumaar Ganesan V. John 29 0 0 14 Nov 2024
Physics-Informed Neural Networks for Electrical Circuit Analysis: Applications in Dielectric Material Modeling Reyhaneh Taj PINN 23 0 0 13 Nov 2024
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations Shu Liu Stanley Osher Wuchen Li 30 0 0 09 Nov 2024
Open-Source High-Speed Flight Surrogate Modeling Framework Tyler E. Korenyi-Both Nathan J. Falkiewicz Matthew C. Jones AI4CE 34 0 0 06 Nov 2024
Using Parametric PINNs for Predicting Internal and External Turbulent Flows Shinjan Ghosh Amit Chakraborty Georgia Olympia Brikis Biswadip Dey 22 1 0 24 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity Handi Zhang Langchen Liu Lu Lu FedML 32 1 0 17 Oct 2024
A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs Surbhi Khetrapal Jaswin Kasi 23 0 0 16 Oct 2024
PINNing Cerebral Blood Flow: Analysis of Perfusion MRI in Infants using Physics-Informed Neural Networks C. Galazis Ching-En Chiu Tomoki Arichi Anil A. Bharath Marta Varela 29 0 0 11 Oct 2024
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning Yichen Song Yunbo Wang Xiaokang Yang Xiaokang Yang AI4CE 58 0 0 08 Oct 2024
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation Caitlin Ho Andrea Arnold AI4CE PINN 34 0 0 05 Oct 2024
CaLMFlow: Volterra Flow Matching using Causal Language Models Shiyang Zhang Daniel Levine Ivan Vrkic Marco Francesco Bressana David Zhang S. Rizvi Yangtian Zhang E. Zappala David van Dijk 22 0 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 41 1 0 03 Oct 2024
Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in $L^p$ -sense Ariel Neufeld Tuan Anh Nguyen 37 0 0 30 Sep 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 48 4 0 28 Sep 2024
Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration Jonathan E. Lee Min Zhu Ziqiao Xi Kun Wang Yanhua O. Yuan Lu Lu AI4CE 31 3 0 25 Sep 2024
ASPINN: An asymptotic strategy for solving singularly perturbed differential equations Sen Wang Peizhi Zhao Tao Song 35 0 0 20 Sep 2024
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion Jun-Jie Zhang Nan Cheng Fu-Peng Li Xiu-Cheng Wang Jian-Nan Chen Long-Gang Pang Deyu Meng 46 0 0 10 Sep 2024