Zhangquan2018's Stars
lyglst/pyFermi
Reconstruct the fermi surface and some related physical properties from ab initio calculation.
lyglst/interp_wav
anthony-wang/CrabNet
Predict materials properties using only the composition information!
devAmoghS/Machine-Learning-with-Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
DustinAlandzes/machine-learning-with-python-cookbook-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
asmanouira/CrystalGAN
Learning to Discover Crystallographic Structures with Generative Adversarial Networks
fd17/SciNet_PyTorch
A PyTorch implementation of the SciNet Paper
anthony-wang/BestPractices
Things that you should (and should not) do in your Materials Informatics research.
atomistic-machine-learning/SchNet
SchNet - a deep learning architecture for quantum chemistry
materialsproject/matbench
Matbench: Benchmarks for materials science property prediction
issp-center-dev/DCore
DMFT software for CORrelated Electrons
DMFTwDFT-project/DMFTwDFT3
A framework to treat strongly correlated materials using beyond-DFT methods
wolverton-research-group/qmpy
A suite of computational materials science tools.
jacobjma/PyQSTEM
A Python interface to the electron microscopy simulation program QSTEM
NU-CUCIS/ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
yoshida-lab/XenonPy
XenonPy is a Python Software for Materials Informatics
yjzhang97/pymatgen_bs_dos_plot
QuantumBFS/SSSS
"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake
whu-maple/tbhcnn
Prototype code of the tight-binding hamiltonian construction neural network model. Check the example_basic_method.py to construct a TB model for the InSe nanoribbon; Check the example_variation_one.py to optimize a given Wannier TB model for 2-D black phosphorus.
WOOHYUNHAN/phononTB
Construct phonon tight-binding model and calculate its topological properties
angeloziletti/ai4materials
Deep learning for crystal-structure recognition and analysis of atomic structures
uw-cmg/MAST-ML
MAterials Simulation Toolkit for Machine Learning (MAST-ML)
halo-dev/halo
强大易用的开源建站工具。
freude/NanoNet
The project represents an extendable Python framework for the electronic structure computations based on the tight-binding method and transport modeling based on the non-equilibrium Green's function (NEGF) method. The code can deal with both finite and periodic system translated in one, two or three dimensions.
Volkov-da/curie_calculator
Magnetic critical temperature Calculator
deepmodeling/dpgen
The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field
tomirendo/chern_numbers
Python library that calculates Chern numbers
TRIQS/triqs
a Toolbox for Research on Interacting Quantum Systems
Chengcheng-Xiao/mpiPyMC
A python based, MPI enabled, Monte-Carlo calculation of 2D system using Metropolis algorithm.
lucydot/effmass
Calculates various definitions of effective mass from the electronic bandstructure of a semiconductor.