Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX3 and A2BB’X6
☆29Jan 11, 2022Updated 4 years ago
Alternatives and similar repositories for perovskite-ML
Users that are interested in perovskite-ML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆30May 15, 2018Updated 8 years ago
- ☆40Feb 18, 2019Updated 7 years ago
- Predicting new perovskites with ensemble Machine Learning algorithms☆16Nov 8, 2025Updated 8 months ago
- ☆73Mar 20, 2026Updated 3 months ago
- A toolkit for querying data in OQMD.☆23Jan 2, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Supporting materials for "An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts".☆29Nov 13, 2019Updated 6 years ago
- A data processing and machine learning project for prediction of the bandgap of HOIPs.☆12Jan 6, 2020Updated 6 years ago
- Identification of the Dominant Recombination Process for Perovskite Solar Cells Based on Machine Learning☆17Oct 27, 2020Updated 5 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆12May 14, 2020Updated 6 years ago
- This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite so…☆23Mar 30, 2022Updated 4 years ago
- DFT optimised crystal structures of inorganic and hybrid halide perovskites☆113Sep 3, 2019Updated 6 years ago
- Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data☆14May 19, 2026Updated last month
- Computational chemistry with free and open source software☆18Feb 2, 2022Updated 4 years ago
- Using the CGCNN transfer learning model to pridict the voltages of many kinds of metal-ion battery electrodes☆11Aug 23, 2022Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A suite of computational materials science tools.☆145Jun 29, 2026Updated last week
- Querying databases, Organizing and Plotting Data: Query Pymatgen for properties like Young's modulus and melting temperature Organize dat…☆16Aug 18, 2021Updated 4 years ago
- ☆10Dec 12, 2023Updated 2 years ago
- Optical Modeling (Transfer Matrix): Modeling the light propogation, light absorption, transmission, and reflection in a multi-layer thin-…☆49May 22, 2018Updated 8 years ago
- Supervised Regression using SVR and Neural Networks for Early Prediction of End-of-Life in Lithium-ion Batteries☆12Dec 24, 2023Updated 2 years ago
- Python Implementation of a simplified version of STICS crop model☆16Sep 12, 2024Updated last year
- Codes to generate a bandgap database using ChemDataExtractor.☆10Jun 4, 2025Updated last year
- AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction☆11Aug 18, 2023Updated 2 years ago
- A shell script for calculating many interesting materials' parameters for photovoltaic applications, includng Band gap, polarisation☆23Nov 15, 2015Updated 10 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- fragbuilder is a tool to create, setup and analyze QM calculations on peptides.☆15Oct 31, 2014Updated 11 years ago
- Self-driving laboratory for accelerated discovery of thin-film materials - data repository☆23Dec 22, 2025Updated 6 months ago
- ChemDataExtractor 2.1 that has been modified for extracting properties of molecular thermally-activated delayed fluorescent (TADF) materi…☆14May 23, 2025Updated last year
- Accelerating Defect Prediction in Semiconductors Using Graph Neural Networks☆15Dec 9, 2024Updated last year
- "Lithium-Ion Battery Life Prediction Based on Initial Stage-Cycles Using Machine Learning"--PCA Model☆11Jan 19, 2020Updated 6 years ago
- Public repo for Materials API documentation☆144Aug 20, 2022Updated 3 years ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Oct 10, 2025Updated 8 months ago
- Organic Electronic Device Simulator☆16Dec 14, 2019Updated 6 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…☆48Aug 10, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Classical Carleman solution of the viscous Burgers equation, used in https://arxiv.org/abs/2011.03185.☆11Mar 1, 2021Updated 5 years ago
- A simple blender add-on to summon lightning☆12May 2, 2021Updated 5 years ago
- Machine learning model for crystal lattice constant prediction☆14Mar 17, 2021Updated 5 years ago
- ☆13Sep 21, 2021Updated 4 years ago
- ☆11Feb 11, 2023Updated 3 years ago
- Prototype code of the tight-binding hamiltonian construction neural network model. Check the example_basic_method.py to construct a TB mo…☆33May 5, 2022Updated 4 years ago
- ☆20Oct 18, 2022Updated 3 years ago