yanghan234
Senior Researcher at Microsoft Research AI4Science. Past: Ph.D. Student at UChicago.
Microsoft Research AI4ScienceShanghai
Pinned Repositories
algorithm-on-coursera
atomate2
atomate2 is a library of computational materials science workflows
CppPrimerNotes
My reading notes of C++ Primer, 5th Edition
ELPH-Impl-Paper-Repository
The source code, results and post-processing scripts for my paper: https://doi.org/10.1021/acs.jctc.1c00605 (See also https://arxiv.org/abs/2106.10373)
emmet
Be a master builder of databases of material properties. Avoid the Kragle.
EssentialCPP
This repository contains the codes that I wrote when I was reading Essential C++ by Standley B. Lippman. Only some of the lectures and exercises are implemented.
matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
Terminator-Paper-Repository
The source code, results and post-processing scripts for my paper: https://dx.doi.org/10.1063/1.5126214 (See also https://arxiv.org/abs/1911.04637)
ThreeEasyPieces
yanghan234's Repositories
yanghan234/CppPrimerNotes
My reading notes of C++ Primer, 5th Edition
yanghan234/algorithm-on-coursera
yanghan234/ThreeEasyPieces
yanghan234/atomate2
atomate2 is a library of computational materials science workflows
yanghan234/ELPH-Impl-Paper-Repository
The source code, results and post-processing scripts for my paper: https://doi.org/10.1021/acs.jctc.1c00605 (See also https://arxiv.org/abs/2106.10373)
yanghan234/emmet
Be a master builder of databases of material properties. Avoid the Kragle.
yanghan234/EssentialCPP
This repository contains the codes that I wrote when I was reading Essential C++ by Standley B. Lippman. Only some of the lectures and exercises are implemented.
yanghan234/matbench-discovery
An evaluation framework for machine learning models simulating high-throughput materials discovery.
yanghan234/Terminator-Paper-Repository
The source code, results and post-processing scripts for my paper: https://dx.doi.org/10.1063/1.5126214 (See also https://arxiv.org/abs/1911.04637)
yanghan234/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
yanghan234/Stanford-ML-on-coursera
Assignments of Andrew Ng's Machine Learning Class on Coursera