PV-Lab / SL-PerovskiteOptLinks
This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells
☆19Updated 3 years ago
Alternatives and similar repositories for SL-PerovskiteOpt
Users that are interested in SL-PerovskiteOpt are comparing it to the libraries listed below
Sorting:
- Predicting new perovskites with ensemble Machine Learning algorithms☆15Updated 2 months ago
- Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX…☆26Updated 4 years ago
- Using the CGCNN transfer learning model to pridict the voltages of many kinds of metal-ion battery electrodes☆11Updated 3 years ago
- Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data☆14Updated 8 years ago
- ☆69Updated last year
- Tools for auto-generating the battery-materials database.☆48Updated 3 years ago
- MOOSE Application for simulation of electrodeposition in Li-ion batteries☆19Updated 3 years ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Updated 3 months ago
- Graphic user interface (GUI) for the battery database.☆16Updated 2 years ago
- Gaussian Process Distribution of Relaxation Times☆42Updated 4 years ago
- A free and fast perovskite solar cell simulator with coupled ion vacancy and charge carrier dynamics in one dimension. Read the Wiki to f…☆46Updated 2 years ago
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆29Updated 7 years ago
- Machine Learning for Catalyst Design and Discovery☆17Updated 6 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆42Updated 3 years ago
- A tool for automated extraction of equivalent circuit models (ECM) from electrochemical impedance spectroscopy (EIS) data☆58Updated last month
- Tools for creating a MongoDB collection of ChemDataExtractor-snowball records☆14Updated 6 years ago
- Module for processing and plotting electrochemical data from battery cyclers. Contains functions to extract dQ/dV.☆17Updated 2 months ago
- yuhaowang2018 / Machine_learning_approach_to_Iron_based_soft_magnetic_nanocrystalline_materials_designMachine learning approach to Fe-based soft magnetic nanocrystalline materials design☆20Updated 5 years ago
- Repository for links to software packages and databases used in deep-learning applications for materials science☆149Updated 8 months ago
- Accelerated Design of Layered Materials with Bayesian Optimization☆20Updated 7 years ago
- Hands-on material for a Machine Learning in Chemical Engineering course☆117Updated 2 years ago
- MatDesign: a programming-free AI platform to predict and design materials☆78Updated 2 weeks ago
- BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement☆34Updated 3 years ago
- Code to help you get started using machine learning in materials science☆19Updated 6 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆11Updated 5 years ago
- Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.☆63Updated last year
- A Python package for adsorption processes☆31Updated 2 months ago
- PSA simulation code☆19Updated 2 years ago
- A collection of notebooks in support of the publication "A Database of Experimentally Measured Lithium Solid Electrolyte Conductivities E…☆21Updated 2 years ago
- Predict the band gap energy for inorganic materials☆19Updated last year