diegoxue / AI_Design_Thermal_BatteryLinks
Elastocaloric Thermal Battery: AI-Designed Alloys for Efficient Waste Heat Recycling
☆10Updated 10 months ago
Alternatives and similar repositories for AI_Design_Thermal_Battery
Users that are interested in AI_Design_Thermal_Battery are comparing it to the libraries listed below
Sorting:
- ☆9Updated last year
- Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.☆54Updated last year
- MLMD: a programming-free AI platform to predict and design materials☆69Updated 3 months ago
- A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.☆278Updated 2 months ago
- [NPJ Com Mat 2023 | Small 2024] Machine Learning Algorithm : outlier identifying, feature selection☆12Updated 5 months ago
- Repository for links to software packages and databases used in deep-learning applications for materials science☆142Updated last month
- ☆17Updated this week
- This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'☆72Updated last year
- Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures☆28Updated 5 months ago
- We developed a novel method, MOF-CGCNN, to efficiently and accurately predict the methane the volumetric uptakes at 65 bar for MOFs. Two …☆19Updated 3 years ago
- AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction☆10Updated last year
- The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating …☆57Updated last month
- 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
- ☆12Updated 3 years ago
- Computational Materials Science(Book)☆93Updated 5 months ago
- Python library for the construction of porous materials using topology and building blocks.☆68Updated last week
- A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning | 【BgoFace软件分享】BiliBili link☆15Updated last month
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- Modules for cross validation, evaluation and plot of SISSO☆15Updated 5 years ago
- A Python package for learning representations of battery discharge voltage profiles across diverse compositions in disordered rocksalt ca…☆15Updated 10 months ago
- ☆16Updated 3 years ago
- Automatic generation of crystal structure descriptions.☆118Updated this week
- GPTFF allowing anyone to directly download and run the AI model in an out-of-the-box manner☆53Updated 2 months ago
- Python version of magpie attribute generators.☆17Updated 7 years ago
- Crystal Graph Convolutional Neural Networks tutorial☆25Updated 2 years ago
- This is a simplified code of our work ''machine learning enabled high-entropy alloys discovery''☆13Updated last year
- The Materials Project Workshop Curriculum☆116Updated 2 years ago
- ☆54Updated 4 years ago
- Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings☆47Updated 2 years ago
- scripts to load all data from ICSD, Materials Project, and OQMD☆59Updated 2 years ago