mehmetfdemirel / PolycrystalGraph
Code base for the graph neural network-based polygrain microstructure property prediction project
☆41Updated 2 years ago
Alternatives and similar repositories for PolycrystalGraph:
Users that are interested in PolycrystalGraph are comparing it to the libraries listed below
- Polycrystal Graph Neural Network☆15Updated last year
- Python package to model and to perform topology optimization for graphene kirigami using deep learning☆29Updated 4 years ago
- Graph-based Deep Learning of Polycrystals☆17Updated 2 years ago
- A python package to simulate precipitation and diffusion behavior using Calphad☆26Updated this week
- Required LAMMPS and MATLAB files for several molecular dynamics simulations.☆38Updated 3 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆32Updated 2 years ago
- Microstructure Modeling and Simulation. Generate microstructures using site-saturation condition, and simulate grain growth using Monte C…☆11Updated last month
- Python Jupyter notebooks for visualizing dislocation related stresses, strains and forces☆26Updated 2 years ago
- ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials☆47Updated 6 months ago
- A Python library to calculate elastic properties of materials.☆55Updated 2 years ago
- Phase field model for material science applications.☆23Updated 5 years ago
- Machine Learning for High Entropy Alloy☆14Updated 4 years ago
- SPPARKS Kinetic and Metropolis Monte Carlo simulator☆62Updated last week
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆92Updated last year
- ☆15Updated 3 years ago
- This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'☆66Updated last year
- Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59☆67Updated last month
- The phase field code of simulation about reversible domain switch phenomena in ferroelectric material.☆16Updated 4 years ago
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆18Updated 3 years ago
- data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…☆16Updated 3 years ago
- Provides some useful information and the LAMMPS input files to model a polymer-metal interface.☆34Updated 3 years ago
- Materials Knowledge System in Python☆115Updated 2 years ago
- Repository for the bicrystal simulations in LAMMPS used to study GB-Dislocation interaction in FCC and BCC metals☆16Updated 7 years ago
- Predict materials properties using only the composition information!☆96Updated last year
- Scalable graph neural networks for materials property prediction☆49Updated 11 months ago
- ☆18Updated 4 years ago
- Microstructure Characterization and Reconstruction in Python☆41Updated 2 months ago
- python library for post-processing of Electron Backscattered Diffraction (EBSD) data☆26Updated 3 months ago
- ☆14Updated 2 years ago
- ☆81Updated 9 years ago