lrcfmd / LiIonML
A collection of notebooks in support of the publication "A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities Evaluated with Machine Learning"
☆21Updated last year
Alternatives and similar repositories for LiIonML:
Users that are interested in LiIonML are comparing it to the libraries listed below
- Graphic user interface (GUI) for the battery database.☆16Updated 2 years ago
- MOOSE Application for simulation of electrodeposition in Li-ion batteries☆17Updated 3 years ago
- Reproduction for "Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries"☆10Updated 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 6 years ago
- Identification of the Dominant Recombination Process for Perovskite Solar Cells Based on Machine Learning☆14Updated 4 years ago
- A Battery Interface Ontology based on EMMO☆43Updated 6 months ago
- BatteryDataExtractor: battery-aware text-mining software embedded with BERT models.☆18Updated 2 years ago
- Using the CGCNN transfer learning model to pridict the voltages of many kinds of metal-ion battery electrodes☆10Updated 2 years ago
- Repository for predicting conductivities through Arrhenius parameters for polymer electrolytes.☆19Updated 9 months ago
- Crystal Graph Convolutional Neural Networks tutorial☆25Updated 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
- Gaussian Process Distribution of Relaxation Times☆39Updated 3 years ago
- ☆26Updated last year
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆10Updated 4 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆34Updated 2 years 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
- ☆53Updated 4 years ago
- A tool for automated extraction of equivalent circuit models (ECM) from electrochemical impedance spectroscopy (EIS) data☆42Updated last week
- Heat capacity predictor for porous materials☆12Updated 10 months ago
- MLMD: a programming-free AI platform to predict and design materials☆63Updated 2 months ago
- zeo++ fork of the LSMO☆14Updated 2 years ago
- A graph attention network based model for predicting atomic partial charges in metal-organic frameworks.☆11Updated 7 months ago
- Mirror of http://zeoplusplus.org/☆9Updated 7 years ago
- Porosity analysis tool☆16Updated 3 years ago
- ☆16Updated 3 years ago
- Neural Network Crystal Synthesizability Predictor (NNCSP)☆11Updated 8 months ago
- Zeolite GAN☆22Updated 4 years ago
- Tools for auto-generating the battery-materials database.☆46Updated 2 years ago
- BAMBOO (Bytedance AI Molecular BOOster) is an AI-driven machine learning force field designed for precise and efficient electrolyte simu…☆81Updated 4 months ago
- Clean, Uniform and Refined with Automatic Tracking from Experimental Database (CURATED) COFs☆37Updated last year