PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leveraging machine learning techniques, this framework offers an efficient implementation for the multi-phase-field model
☆21Apr 11, 2025Updated 11 months ago
Alternatives and similar repositories for PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems
Users that are interested in PINNs_MPF--a-Physics-Informed-Neural-Network-for-Multi-Phase-Field-problems are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆29Feb 18, 2025Updated last year
- This is a software package for simulation of micro-structure evolution using phase field model☆30Aug 26, 2018Updated 7 years ago
- Adaptive Mesh Phase-field Evolution☆42Dec 15, 2025Updated 3 months ago
- Benchmark problems of GPU computing of phase-field models☆13Oct 26, 2022Updated 3 years ago
- The Poisson equation is an integral part of many physical phenomena, yet its computation is often time-consuming. This module presents an…☆32Jun 27, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆27May 17, 2024Updated last year
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Jun 23, 2021Updated 4 years ago
- ☆18Jan 19, 2023Updated 3 years ago
- A computational toolbox for level set-based topology optimisation in Julia☆26Mar 17, 2026Updated last week
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆27Oct 11, 2019Updated 6 years ago
- ☆13Apr 7, 2022Updated 3 years ago
- Synthetic exterior acoustic scattering data and sample parsing code.☆17Feb 5, 2020Updated 6 years ago
- The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs☆18Mar 12, 2025Updated last year
- Acoustic scattering models for zooplankton☆14Aug 9, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade:…☆17Aug 17, 2023Updated 2 years ago
- A phase-field simulation tool for microstructure evolution in multi-component alloy systems☆17Aug 14, 2025Updated 7 months ago
- RAM Parabolic Equation code with bottom loss☆16Jan 17, 2024Updated 2 years ago
- Use Bayesian Global Optimization to solve inverse problems☆13Jul 20, 2015Updated 10 years ago
- Matlab codes: Comparative study of truss sizing optimisation problem 2020☆10Apr 26, 2020Updated 5 years ago
- Physics-informed neural networks for two-phase flow problems☆77Oct 2, 2025Updated 5 months ago
- Repo for our research paper "Learning Acoustic Scattering Fields for Dynamic Interactive Sound Propagation"☆17Apr 6, 2021Updated 4 years ago
- The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimiza…☆11Dec 27, 2021Updated 4 years ago
- Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)☆10Dec 20, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This repo contains active learning query strategies as introduced in our GCPR 2013 paper.☆12Aug 12, 2013Updated 12 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 9 months ago
- Official implementation for the paper "Sample-Then-Optimize Batch Neural Thompson Sampling", published at NeurIPS 2022.☆10Oct 13, 2022Updated 3 years ago
- Approximate Bayesian Computation in python☆11Feb 19, 2015Updated 11 years ago
- Phase-field crystal solidification simulation codes (mpi C++ and python)☆32Apr 30, 2019Updated 6 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆35Aug 2, 2022Updated 3 years ago
- virtual element method for space-time dynamic analysis☆14Mar 18, 2025Updated last year
- Maximum-rectifier-function approach for stress-based topology optimization☆11Sep 22, 2022Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆17Jan 14, 2023Updated 3 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.
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- MATLAB rendition of a stable orthonormalization algorithm, visualization and showcasing numerical stability☆11Jun 11, 2021Updated 4 years ago
- Examples of using MATLAB, Symbolic Math Toolbox, Partial Differential Equation Toolbox, and Simscape Fluids for solving canonical problem…☆13Mar 4, 2025Updated last year
- opt.io is a MATLAB-based tool that solves basic topology optimization problems, using topology optimization source code modified from Fer…☆11Oct 28, 2022Updated 3 years ago
- PRISMS-PF: An Open-Source Phase-Field Modeling Framework☆305Updated this week
- An IJulia notebook adaptation of Loren Barba's "12 Steps to Navier-Stokes" http://lorenabarba.com/☆33Nov 15, 2020Updated 5 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆24Jul 2, 2025Updated 8 months ago