Tutorial for performing machine learning to predict band gaps from the K computer double perovskite dataset
☆21Jun 7, 2019Updated 7 years ago
Alternatives and similar repositories for machine_learning_perovskite_tutorial
Users that are interested in machine_learning_perovskite_tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX…☆29Jan 11, 2022Updated 4 years ago
- ☆39Feb 18, 2019Updated 7 years ago
- 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
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆12May 14, 2020Updated 6 years ago
- Supporting materials for "An Adaptive Machine Learning Strategy for Accelerating Discovery of Perovskite Electrocatalysts".☆29Nov 13, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Predicting new perovskites with ensemble Machine Learning algorithms☆16Nov 8, 2025Updated 11 months ago
- Predict the band gap energy for inorganic materials☆20Apr 21, 2024Updated 2 years ago
- ☆75Mar 20, 2026Updated 7 months ago
- Perovskite capping layer code☆14Jun 22, 2020Updated 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 3 years ago
- ☆14Mar 19, 2025Updated last year
- A set of tools and structures for modelling perovskite polytypes☆13Jun 18, 2023Updated 3 years ago
- Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data☆15May 19, 2026Updated 5 months 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
- 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.
- Identification of the Dominant Recombination Process for Perovskite Solar Cells Based on Machine Learning☆16Oct 27, 2020Updated 6 years ago
- ☆11Nov 3, 2023Updated 2 years ago
- DFT optimised crystal structures of inorganic and hybrid halide perovskites☆112Sep 3, 2019Updated 7 years ago
- ☆14Jun 11, 2026Updated 4 months ago
- Calculation and visualization tools for theoretical solar cell efficiencies based on the Shockley Queisser limit with options to change t…☆57Feb 17, 2017Updated 9 years ago
- ☆15Feb 19, 2025Updated last year
- Julia codes to play with Phonons☆25Nov 7, 2018Updated 7 years ago
- An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion …☆16Sep 19, 2022Updated 4 years ago
- Python program to calculates the real and imaginary part of the dielectric function, real and imaginary part of the refractive index for …☆12Sep 9, 2015Updated 11 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.
- Machine learning based RUL prediction of lithium ion battery☆14Mar 11, 2023Updated 3 years ago
- Codes to generate a bandgap database using ChemDataExtractor.☆10Jun 4, 2025Updated last year
- use TCN and Transformer model for "Hourly Energy Consumption" data☆15Apr 29, 2022Updated 4 years ago
- Menagerie of generative AI models for materials design☆15Nov 11, 2025Updated 11 months ago
- A collection of tips, scripts, tools and files to improve your workflow, or simply help you start with ab initio Molecular Dynamics (AIMD…☆29May 25, 2023Updated 3 years ago
- Some tutorial-style examples for validating machine-learned interatomic potentials☆35Dec 4, 2023Updated 2 years ago
- Addon for Blender to import and work with molecules and other atomic structures☆10Jun 27, 2019Updated 7 years ago
- Use 3D visualization software Mayavi to visualize VASP POSCAR file.☆36Jun 26, 2023Updated 3 years ago
- A NOMAD plugin containing the schema for the Perovskite Solar Cell Database.☆16Oct 16, 2026Updated 2 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This template repository provides the boilerplate and file structure required to easily create your own PennyLane plugin.☆11Sep 16, 2020Updated 6 years ago
- Chimera: hierarchy-based multi-objective optimization☆12Aug 27, 2022Updated 4 years ago
- Python implementation of Dynamical Network Analysis☆16Aug 6, 2025Updated last year
- Self-driving laboratory for accelerated discovery of thin-film materials - data repository☆23Dec 22, 2025Updated 10 months ago
- SOMperf: Self-organizing maps performance metrics and quality indices☆39Jul 11, 2024Updated 2 years ago
- Hamster.jl is a powerful Julia package to fit and run calculations with effective Hamiltonians to compute temperature-dependent optoelect…☆17Updated this week
- Python software that implements the formulation for evaluating the effects of electron-phonon coupling on the optical properties of defec…☆12Sep 30, 2026Updated last month