yingyingeryu / voltages-of-battery-electrodes
Using the CGCNN transfer learning model to pridict the voltages of many kinds of metal-ion battery electrodes
☆10Updated 2 years ago
Alternatives and similar repositories for voltages-of-battery-electrodes
Users that are interested in voltages-of-battery-electrodes are comparing it to the libraries listed below
Sorting:
- A collection of notebooks in support of the publication "A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities E…☆22Updated last year
- Reproduction for "Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries"☆10Updated 4 years ago
- Graphic user interface (GUI) for the battery database.☆16Updated 2 years ago
- Scalable graph neural networks for materials property prediction☆61Updated last year
- Gaussian Process Distribution of Relaxation Times☆40Updated 3 years ago
- Zeolite GAN☆22Updated 4 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
- MOOSE Application for simulation of electrodeposition in Li-ion batteries☆17Updated 3 years ago
- Repository for predicting conductivities through Arrhenius parameters for polymer electrolytes.☆19Updated 9 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 …☆18Updated 3 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆10Updated 5 years ago
- User-friendly Freeware for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells Using Fourier Transform Infrared …☆15Updated 2 years ago
- Tools for auto-generating the battery-materials database.☆46Updated 2 years ago
- Crystal Graph Convolutional Neural Networks tutorial☆25Updated 2 years ago
- data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…☆19Updated 4 years ago
- BatteryDataExtractor: battery-aware text-mining software embedded with BERT models.☆18Updated 2 years ago
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- This is the Python code and original data of "Machine-Learning Guided Discovery and Optimization of Additives in Preparing Cu Catalyst fo…☆7Updated 2 years ago
- BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement☆28Updated 2 years ago
- Composition-Conditioned Crystal GAN pytorch code☆43Updated 3 years ago
- [NpjCM2023 ; Small 2024] Machine Learning Algorithm : outlier identifying, feature selection☆12Updated 4 months ago
- Predict materials properties using only the composition information!☆101Updated 2 years ago
- Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.☆54Updated last year
- BAMBOO (Bytedance AI Molecular BOOster) is an AI-driven machine learning force field designed for precise and efficient electrolyte simu…☆82Updated last week
- Automated Intelligent Analyzer of Electrochemical Impedance Spectroscopy☆11Updated last year
- A Python package for learning representations of battery discharge voltage profiles across diverse compositions in disordered rocksalt ca…☆15Updated 10 months ago
- image-based generative model for inverse design of solid state materials☆40Updated 3 years ago
- An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]☆20Updated 7 months ago
- Multi-layer perceptron model for photo-voltaic material properties prediction.☆26Updated 2 years ago
- Source code for generating materials with 20 space groups using PGCGM☆32Updated 2 years ago