mbn010 / Gray-Scott-reaction-diffusion-on-a-sphereLinks
A finite element method implementation in Matlab to solve the Gray-Scott reaction-diffusion equation on the surface of a sphere.
☆17Updated 2 years ago
Alternatives and similar repositories for Gray-Scott-reaction-diffusion-on-a-sphere
Users that are interested in Gray-Scott-reaction-diffusion-on-a-sphere are comparing it to the libraries listed below
Sorting:
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆71Updated 3 years ago
- 采用PINN/ResPINN对两种偏微分方程（Burgers&Allen-Cahn）的训练与求解☆15Updated 4 years ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- ☆31Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design☆18Updated 2 years ago
- ☆20Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆57Updated 3 years ago
- ☆16Updated last year
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆25Updated 2 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆65Updated 3 years ago
- Deep Learning and Finite Element Method for Physical Systems Modeling☆51Updated 6 years ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 5 months ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- Implementation of 'Inverting the structure-property map of truss metamaterials via deep learning' (PNAS)☆30Updated last year
- ☆42Updated 3 years ago
- ☆40Updated 2 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 7 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- PINN program for computational mechanics☆127Updated last year
- Code for paper "Self-Directed Online Machine Learning for Topology Optimization"☆131Updated 9 months ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆38Updated 5 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆41Updated 2 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago