RuiyangLi6 / PINN-pBTE-deltaTLinks
☆13Updated 3 years ago
Alternatives and similar repositories for PINN-pBTE-deltaT
Users that are interested in PINN-pBTE-deltaT are comparing it to the libraries listed below
Sorting:
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Updated 3 years ago
- Rheology-informed Machine Learning Projects☆22Updated last year
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆72Updated 3 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆37Updated 2 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆23Updated last year
- Competitive Physics Informed Networks☆32Updated last year
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligenc…☆80Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆13Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- ☆20Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- ☆40Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design☆18Updated 2 years ago
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆21Updated 4 years ago
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- Dimensionless learning☆41Updated this week
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- ☆29Updated 3 years ago
- ☆36Updated 3 years ago
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆16Updated 4 years ago
- Physics-informed radial basis network☆33Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year