Raocp / 3D-ConvNeuralNet-material-property-prediction
This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction
☆19Updated 4 years ago
Alternatives and similar repositories for 3D-ConvNeuralNet-material-property-prediction:
Users that are interested in 3D-ConvNeuralNet-material-property-prediction are comparing it to the libraries listed below
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆12Updated 9 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 3 years ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆28Updated 2 years ago
- ☆16Updated 11 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 5 months ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated last year
- ☆10Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- Multifidelity DeepONet☆27Updated last year
- POD-PINN code and manuscript☆47Updated 3 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆31Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆49Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆9Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆22Updated 9 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- Physics-informed radial basis network☆29Updated 8 months ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆24Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆21Updated last year
- MIONet: Learning multiple-input operators via tensor product☆31Updated 2 years ago
- ☆52Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆26Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated 3 weeks ago
- ☆25Updated 2 years ago
- gPINN: Gradient-enhanced physics-informed neural networks☆84Updated 2 years ago