Jesperkemist / perovskitedatabase
☆60Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for perovskitedatabase
- Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX…☆22Updated 2 years ago
- ☆73Updated 2 weeks ago
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆25Updated 6 years ago
- Extracts tables into json format from HTML/XML files☆35Updated 4 years ago
- ☆20Updated 4 years ago
- ☆36Updated 5 years ago
- ☆28Updated 4 months ago
- Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data☆12Updated 7 years ago
- Object-oriented microkinetic modeling package using ASE☆21Updated last year
- ☆48Updated 3 years ago
- datalab is a place to store experimental data and the connections between them.☆49Updated this week
- The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating …☆49Updated 4 months ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆31Updated 2 years ago
- Clean, Uniform and Refined with Automatic Tracking from Experimental Database (CURATED) COFs☆34Updated last year
- Classical force field model for simulating atomic force microscopy images.☆50Updated this week
- ☆62Updated last year
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆55Updated 2 weeks ago
- A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.☆39Updated 2 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 …☆15Updated 2 years ago
- BET Surface Identification - a program that fully implements the rouquerol criteria☆13Updated last year
- Code to help you get started using machine learning in materials science☆15Updated 5 years ago
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆37Updated last year
- Pynta - an automated workflow for reaction path exploration on metallic surfaces☆34Updated last week
- ☆26Updated 2 years ago
- ☆20Updated 6 months ago
- Compiled binaries and sources of LAMMPS, redistributed by AdvanceSoft Corp.☆40Updated 4 months ago
- Heat capacity predictor for porous materials☆13Updated 4 months ago
- Active Learning for Machine Learning Potentials☆45Updated 5 months ago
- The RASPA plugin for the AiiDA workflow and provenance engine. http://www.aiida.net☆11Updated last year
- ☆64Updated 3 years ago