Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations
☆34Apr 15, 2023Updated 3 years ago
Alternatives and similar repositories for dt-pinn
Users that are interested in dt-pinn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 years ago
- Meshless methods for Computational Mechanics☆18Apr 26, 2022Updated 4 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- NodeLab is a simple MATLAB-repository for node-generation and adaptive refinement for testing, and implementing various meshfree methods …☆32Feb 12, 2025Updated last year
- Code for reproducing the paper: RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks☆16May 2, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Sep 12, 2021Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆91Aug 26, 2025Updated 8 months ago
- Weighted least squares meshless interpolator and differentiator. Py3.11-3.14.☆19Apr 15, 2026Updated 2 weeks ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆34Mar 19, 2026Updated last month
- 微分方程数值解课件☆22Mar 26, 2021Updated 5 years ago
- ☆117Feb 5, 2025Updated last year
- ☆113Oct 16, 2021Updated 4 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆97Aug 17, 2023Updated 2 years ago
- implementation of XPBD: Position-Based Simulation of Compliant Constrained Dynamics☆11Mar 18, 2019Updated 7 years ago
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆40Nov 20, 2024Updated last year
- Reproduce the first two numerical experiments(Pytorch)☆26Jul 30, 2020Updated 5 years ago
- Vision Based Inspection tool comprising of retrained Inception V3 network and OpenCV Filters for fracture detection. Published at A2IC 20…☆11Jun 19, 2019Updated 6 years ago
- ☆258Oct 14, 2021Updated 4 years ago
- Physics-informed radial basis network☆38May 20, 2024Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 4 years ago
- A 2D/3D FEM demo implemented by Taichi.☆23Nov 30, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Computational Biophysics for Medicine in 3D Slicer☆17Jan 20, 2026Updated 3 months ago
- Tools for computation with positive definite kernels (RBFs) in approximation, optimization and PDEs☆17Dec 2, 2020Updated 5 years ago
- ☆18Jun 6, 2023Updated 2 years ago
- FEM code for phase-field fracture of poroelastic media☆12Jun 24, 2016Updated 9 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated this week
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆42Apr 14, 2023Updated 3 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆47Mar 2, 2026Updated 2 months ago
- Solve mass spring damper system with physics-informed neural networks in MATLAB☆15Apr 22, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- [AAAI 2023] Physics-Informed Cell Representations☆36Nov 27, 2025Updated 5 months ago
- Dual mesh approach for solving phase field based brittle fracture problems☆13Jun 23, 2021Updated 4 years ago
- Graph-based operator learning in arbitrary geometries☆38Dec 19, 2025Updated 4 months ago
- A phase field brittle fracture code coupled to a dummy place-holder FEniCS script providing material parameters☆13Mar 16, 2021Updated 5 years ago
- Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equati…☆13Jan 11, 2026Updated 3 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆153Nov 18, 2021Updated 4 years ago