vstanev1 / SuperconLinks
Data used in "Machine learning modeling of superconducting critical temperature" paper
☆31Updated 7 years ago
Alternatives and similar repositories for Supercon
Users that are interested in Supercon are comparing it to the libraries listed below
Sorting:
- A machine learning environment for atomic-scale modeling in surface science and catalysis.☆117Updated last year
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆93Updated 6 months ago
- Workflow for creating and analyzing the Open Catalyst Dataset☆123Updated 11 months ago
- A Python library for building atomic neural networks☆122Updated last week
- A physics computational framework for python and ipython☆38Updated 6 months ago
- Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.☆30Updated 4 years ago
- Unsupervised learning of atomic scale dynamics from molecular dynamics.☆85Updated 4 years ago
- ☆102Updated 4 months ago
- DeePTB: A deep learning package for tight-binding Hamiltonian with ab initio accuracy.☆101Updated last week
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Updated 3 months ago
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆81Updated 6 months ago
- The Wren sits on its Roost in the Aviary.☆61Updated 3 weeks ago
- Repo for the paper publishing the superconductor database with 3D crystal structures.☆24Updated last year
- Agent-based sequential learning software for materials discovery☆62Updated last year
- PROPhet is a code to integrate machine learning techniques with first-principles quantum chemistry approaches☆66Updated 7 years ago
- AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch☆61Updated 2 years ago
- a package for developing machine learning-based chemically accurate energy and density functional models☆117Updated 9 months ago
- Code Repository for "Direct prediction of phonon density of states with Euclidean neural network"☆28Updated 3 years ago
- ☆29Updated 3 years ago
- Molecular Simulation with Machine Learning - On-line workshop, July 13-14, 2020☆22Updated 5 years ago
- Repository for spectral neighbor analysis potential (SNAP) model development.☆37Updated 5 years ago
- Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.☆97Updated 3 weeks ago
- Data Science for Materials Science☆66Updated last week
- Atom2Vec: a simple way to describe atoms for machine learning☆37Updated last year
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆39Updated 6 years ago
- A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w☆72Updated 3 months ago
- New version of dft-book for Quantum Espresso☆47Updated 5 years ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆65Updated 9 months ago
- Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings☆48Updated 2 years ago
- Representation Learning from Stoichiometry☆60Updated 3 years ago