vstanev1 / Supercon
Data used in "Machine learning modeling of superconducting critical temperature" paper
☆30Updated 6 years ago
Alternatives and similar repositories for Supercon:
Users that are interested in Supercon are comparing it to the libraries listed below
- Repo for the paper publishing the superconductor database with 3D crystal structures.☆18Updated 2 months ago
- Python Topological Materials (pytopomat) is a code for easy, high-throughput analysis of topological materials.☆28Updated 3 years ago
- Repository for spectral neighbor analysis potential (SNAP) model development.☆37Updated 4 years ago
- New version of dft-book for Quantum Espresso☆44Updated 4 years ago
- Agent-based sequential learning software for materials discovery☆60Updated 11 months ago
- Tutorial notebook for symmetry features in ASE☆23Updated 5 years ago
- ☆36Updated 5 years ago
- A physics computational framework for python and ipython☆38Updated last year
- tools for machine learning in condensed matter physics and quantum chemistry☆34Updated 2 years ago
- Code Repository for "Direct prediction of phonon density of states with Euclidean neural network"☆27Updated 2 years ago
- Examples of using the Atomic Simulation Environment☆32Updated 8 years ago
- Fast lightweight SOAP implementation for machine learning in quantum chemistry and materials physics.☆44Updated 5 years ago
- Molecular Simulation with Machine Learning - On-line workshop, July 13-14, 2020☆23Updated 4 years ago
- high dimensional neural network potential☆21Updated 2 years ago
- The course materials for "Machine Learning in Chemistry 101"☆74Updated 4 years ago
- Machine Learning Interatomic Potential Predictions☆89Updated 11 months ago
- An algorithm to match crystal structures atom-to-atom☆52Updated last year
- The Temperature Dependent Effective Potentials (TDEP) code☆73Updated this week
- PROPhet is a code to integrate machine learning techniques with first-principles quantum chemistry approaches☆64Updated 6 years ago
- ☆31Updated 4 years ago
- Generating Deep Potential with Python☆64Updated this week
- Prototype code of the tight-binding hamiltonian construction neural network model. Check the example_basic_method.py to construct a TB mo…☆29Updated 2 years ago
- Sparse Gaussian Process Potentials☆27Updated 6 months ago
- Statistical Mechanics on Lattices☆68Updated this week
- Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Activ…☆27Updated 3 years ago
- A Python library and command line interface for automated free energy calculations☆74Updated last month
- ☆28Updated 2 years ago
- A toolbox for quickly build inputs and analyze results of DFT codes☆41Updated last year
- Calculates self-consistent Fermi level given defect formation energies and the density of states.☆11Updated 5 years ago
- Integer Programming encoding for Crystal Structure Prediction with classic and quantum computing bindings☆45Updated last year