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aixuan1995py's Projects

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

deepmd-kit icon deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

gdynet icon gdynet

Unsupervised learning of atomic scale dynamics from molecular dynamics.

gris icon gris

minimalistic python tool to read, parse, and write reference data in RIS format

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

leeml-notes icon leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

mpinterfaces icon mpinterfaces

Python package that enables high throughput analysis of interfaces(two dimensional materials, hetero-structures, nanoparticles with and without ligands/solvents).

neural-network-design-of-hea icon neural-network-design-of-hea

This is the repository of the code and data needed for reproducing the results of the paper "Neural Network-Assisted Development of High-Entropy Alloy Catalysts: Decoupling Ligand and Coordination Effects", currently submitted to Matter.

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

pyband icon pyband

band plot using python matplotlib

pymatgen icon pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

q-e icon q-e

Mirror of the Quantum ESPRESSO repository

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