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Happily assistant professing at CHEM@CUHK
πŸ˜ƒ
Happily assistant professing at CHEM@CUHK

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xinglong-zhang/README.md

Welcome to Xinglong Zhang's GitHub Profile! πŸ‘‹

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We are a dynamic computational chemistry research group at The Chinese University of Hong Kong (CUHK). Our focus lies in developing automation tools to increase the efficiency of computational chemistry research. We apply quantum chemical simulations to understand organic and organometallic catalysis.

πŸ”¬ Research Focus

  • Automation Tools: Enhancing efficiency in computational chemistry practices.
  • Catalysis Studies: Exploring transition-metal catalyzed C–H functionalisation and organocatalytic asymmetric synthesis.
  • Small Molecule Activation: Investigating small molecule activaion using green catalysis.
  • Machine Learning Applications: Addressing complex chemical systems and studying dynamic effects on large scales.

Discover more about our research here.

πŸ† Recent News

Stay updated with our latest news here.

πŸ“š Publications

Our group actively contributes to the scientific community. Explore our publications here.

πŸŽ“ Teaching

We are committed to education and offer various courses. Learn more about our teaching endeavors here.

πŸ“¬ Contact

Address:
Run Run Shaw Science Building,
The Chinese University of Hong Kong,
Shatin, N.T., Hong Kong, China

Email: xinglong.zhang@cuhk.edu.hk


Visit our official website: xinglong-zhang.github.io

Follow our updates on LinkedIn and Twitter.

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  1. chemsmart chemsmart Public

    CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit

    Python 37 10