mragon2 / Deep-Learning-High-Entropy-AlloysLinks
High Entropy Alloys (HEAs) are multi-chemical elements alloys with exceptional physical properties. HEAs have sparked the interest in engineering applications such as energy storage, catalysis and bio/plasmonic imaging. The understanding of the structural of composition of HEAs is paramount for the appropriate tuning of their properties. Scannin…
☆9Updated 3 years ago
Alternatives and similar repositories for Deep-Learning-High-Entropy-Alloys
Users that are interested in Deep-Learning-High-Entropy-Alloys are comparing it to the libraries listed below
Sorting:
- Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow☆15Updated 4 years ago
- Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX…☆23Updated 3 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆35Updated 2 years ago
- Code base for the graph neural network-based polygrain microstructure property prediction project☆45Updated 3 years ago
- A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materi…☆9Updated 2 years ago
- Code to analyse thermodynamics of alloys through the generalized quasi-chemical approximation (GQCA)☆15Updated 5 years ago
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆27Updated 7 years ago
- Data Science for Materials Science☆64Updated 2 weeks ago
- 针对开源模拟软件Lammps导出的数据文件,个人采用Python脚本进行数据处理并科研绘图,并取得相关的论文成果。☆48Updated 4 years ago
- MLMD: a programming-free AI platform to predict and design materials☆70Updated 4 months ago
- A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/☆88Updated last week
- Pizza.py is a loosely integrated collection of tools written in Python, many of which provide pre- and post-processing capability for th…☆65Updated 3 years ago
- Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59☆74Updated 3 months ago
- Lammps tutorial: graphene simulations☆32Updated 4 years ago
- A Python library to calculate elastic properties of materials.☆58Updated 3 years ago
- TREKIS-3: Time-Resolved Electron Kinetics in SHI-Irradiated Solids☆10Updated 9 months ago
- Accelerated Design of Layered Materials with Bayesian Optimization☆19Updated 6 years ago
- A wrapper for many computational codes of thermal conductivity☆25Updated 2 years ago
- ArunBaskaran / Image-Driven-Machine-Learning-Approach-for-Microstructure-Classification-and-Segmentation-Ti-6Al-4V☆19Updated 6 months ago
- pyiron_atomistics - an integrated development environment (IDE) for atomistic simulation in computational materials science.☆45Updated this week
- Codes for translating structural defects to atomic properties☆14Updated 2 years ago
- Python Materials Discovery Framework☆72Updated last year
- naqibasri / Mechanical-properties-prediction-of-low-alloy-steels-based-on-their-material-compositions-by-weight-☆8Updated 2 years ago
- Querying databases, Organizing and Plotting Data: Query Pymatgen for properties like Young's modulus and melting temperature Organize dat…☆14Updated 3 years ago
- Generate random alloys and compute various properties☆54Updated 7 months ago
- Required LAMMPS and MATLAB files for several molecular dynamics simulations.☆42Updated 3 years ago
- Code to help you get started using machine learning in materials science☆17Updated 6 years ago
- Generative Pretrained Transformer Models for Materials Design https://www.youtube.com/@dr_k_choudhary☆67Updated last week
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆95Updated 2 years ago
- Matlab codes to calculate solid-liquid contact angle from Molecular Dynamics simulations☆13Updated 5 years ago