Skip to content
View JujuHuang's full-sized avatar
20 followers · 112 following

Block or report JujuHuang

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JujuHuang/README.md
  • 👋 Hello, welcome. I'm Ju Huang. I am working as a Postdoctoral Fellow with Prof. Wenbin Li at Westlake University.
  • 😄 I was previously in the groups of Prof. Kim Jelfs (Research Associate) and Prof. Aron Walsh (PhD) in Imperial College London.
  • 👀 My research interests: Materials Science, Machine Learning, Electronic Structures, Porous Materials, Energy Storage, Carbon Capture.
  • 🌱 Learning: Machine learning techniques in properties and applications of porous materials.
  • 📫 My email address: huangju33@gmail.com.

Popular repositories Loading

  1. best-of-atomistic-machine-learning best-of-atomistic-machine-learning Public

    Forked from JuDFTteam/best-of-atomistic-machine-learning

    🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

    1

  2. JujuHuang JujuHuang Public

    Config files for my GitHub profile.

  3. MLFF MLFF Public

    Forked from WMD-group/MLFF

    A collection of files related to machine learning force fields

    1

  4. vasp2aims vasp2aims Public

    Forked from WMD-group/vasp2aims

    A Fortran code to convert VASP POSCAR file to FHI-AIMS geometry.in

    Fortran

  5. tools-cp-porousmat tools-cp-porousmat Public

    Forked from SeyedMohamadMoosavi/tools-cp-porousmat

    Heat capacity predictor for porous materials

    Python

  6. pymatgen pymatgen Public

    Forked from materialsproject/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 …

    Python