zhanzghang Goto Github PK

af-

一个自定义填充化学式特征的即时软件

bayesianframework

A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).

dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

elemnet

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

integrated-ml-model-superconductors-data

maml

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

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.

scs-structure-data

The superconducting crystal structure data

superconductors-data

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

zif-orr-machine-learning

This repository is related to the research work <Machine Learning Guided Discovery of Underlying Decisive Factor and New Mechanism for the Design of Nonprecious Metal Electrocatalyst> by Rui Ding et. al. If use, please cite: 10.1021/acscatal.1c01473