A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations
☆37Feb 4, 2022Updated 4 years ago
Alternatives and similar repositories for bc-PINN
Users that are interested in bc-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:
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Code to simulate the Cahn-Hilliard equation☆20May 10, 2019Updated 7 years ago
- Numerical schemes for the Cahn-Hilliard equation.☆19May 3, 2017Updated 9 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- ☆15Dec 13, 2022Updated 3 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.
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆13Jun 23, 2022Updated 4 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆30May 8, 2023Updated 3 years ago
- Repository for programmes used in the publication "High Accuracy Benchmark Problems for Allen-Cahn and Cahn-Hilliard Dynamics"☆14Jun 29, 2023Updated 3 years ago
- Compute the motion of droplets and particles in Stokes flows in axisymmetric domains using the Boundary Element Method (BEM) or the Spect…☆15Feb 21, 2019Updated 7 years ago
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆17Feb 5, 2021Updated 5 years ago
- This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"☆10Mar 2, 2022Updated 4 years ago
- Python code for solving some 2D peridynamic problems☆13Mar 21, 2023Updated 3 years ago
- ☆221Feb 16, 2024Updated 2 years ago
- ☆12Apr 18, 2023Updated 3 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.
- ☆11Apr 2, 2021Updated 5 years ago
- Stability Analysis for Plane Poiseuille Flow☆19Jul 18, 2018Updated 8 years ago
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 5 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆112Apr 15, 2022Updated 4 years ago
- code☆20Sep 8, 2023Updated 2 years ago
- ☆23Oct 23, 2020Updated 5 years ago
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆14Apr 15, 2023Updated 3 years ago
- 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.
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆44Feb 1, 2023Updated 3 years ago
- ☆16Jun 18, 2023Updated 3 years ago
- This is the implementation of the PI-UNet for HSL-TFP☆29Feb 19, 2023Updated 3 years ago
- Python and C++ library to process both experimental and simulation data of colloidal particles.☆15Sep 2, 2021Updated 4 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆26May 11, 2023Updated 3 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆82Feb 1, 2023Updated 3 years ago
- The code is for implementing fracture behavior of micropolar continuum with peridynamic differential operator method.☆19Jun 5, 2024Updated 2 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Aug 18, 2023Updated 2 years ago
- ☆17Dec 21, 2023Updated 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 deep learning Bayesian framework for attribute driven inverse materials design☆15Mar 4, 2020Updated 6 years ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆14May 18, 2020Updated 6 years ago
- Python 2.7 - Finitie Element code for 2D quadrilateral plane stress/plane strain applications using linear isoparametric formulation with…☆12Jan 29, 2019Updated 7 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆29Oct 14, 2025Updated 9 months ago
- FEM code for phase-field fracture of poroelastic media☆12Jun 24, 2016Updated 10 years ago
- some exercises in phasefield modelling solved in MATLAB☆25Nov 30, 2019Updated 6 years ago
- My codes written using Fenics☆20Apr 7, 2025Updated last year