Characterizing possible failure modes in physics-informed neural networks.
☆152Nov 18, 2021Updated 4 years ago
Alternatives and similar repositories for characterizing-pinns-failure-modes
Users that are interested in characterizing-pinns-failure-modes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆119Oct 16, 2021Updated 5 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆42Jun 21, 2024Updated 2 years ago
- ☆222Feb 16, 2024Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆301Oct 12, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆433Dec 3, 2022Updated 3 years ago
- ☆274Oct 14, 2021Updated 5 years ago
- NeurIPS 2023 (Spotlight)☆38Jan 2, 2024Updated 2 years ago
- Multiwavelets-based operator model☆70Feb 16, 2022Updated 4 years ago
- ☆559Apr 1, 2025Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆100Aug 17, 2023Updated 3 years ago
- ☆98Sep 2, 2024Updated 2 years ago
- We proposed the simple adaptive activation functions deep neural networks. The proposed method is simple and easy to implement in any neu…☆12Feb 1, 2023Updated 3 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆49Jan 31, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆401Jul 14, 2023Updated 3 years ago
- POD-PINN code and manuscript☆62Nov 10, 2024Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,558Dec 8, 2023Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Jul 23, 2020Updated 6 years ago
- ☆30Jul 8, 2024Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆89Apr 10, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆57Oct 9, 2022Updated 4 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,226Mar 30, 2026Updated 7 months ago
- ☆178Jun 27, 2022Updated 4 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆269Feb 1, 2023Updated 3 years ago
- ☆64Jul 21, 2025Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 4 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆38Apr 15, 2023Updated 3 years ago
- ☆98Jul 18, 2023Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆361Apr 16, 2026Updated 6 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆857Jun 25, 2022Updated 4 years ago
- A place to share problems solved with SciANN☆311Nov 6, 2023Updated 3 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆55May 31, 2023Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆4,496Updated this week
- ☆15May 3, 2026Updated 6 months ago
- GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning☆10Nov 19, 2024Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆37Dec 4, 2023Updated 2 years ago