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@WPEM @MaterialsInformaticsDemo @AI4Cr @Bgolearn

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Bin-Cao/README.md

I am Cao Bin, a graduate of Beijing University of Chemical Technology, and currently pursuing research at Hong Kong University of Science and Technology (Guangzhou) . My research is centered on AI-driven computational materials science, particularly focusing on crystal structure analysis, generation, and Bayesian optimization. As an advocate of open science, I am dedicated to promoting transparency and accessibility in research.

Visit me at :

Research Interests:

  • Developing physics-informed machine learning algorithms
  • Refining spectroscopy methods and X-ray diffraction patterns
  • Exploring coupled scattering phenomena in X-ray and crystals
  • Investigating crystal electronic structures

Find me on:

ResearchGate Google Scholar GitHub Repositories Open Source Projects


WeChat Public Account WPEM Project Bgolearn Project

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  1. Bgolearn Bgolearn Public

    A Bayesian global optimization package for material design | Adaptive Learning | Active Learning

    Jupyter Notebook 86 15

  2. MultiBgolearn MultiBgolearn Public

    Multi-Objective Bayesian Global Optimization for materials design

    Jupyter Notebook 1

  3. TrAdaboost TrAdaboost Public

    The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)

    Python 35 8

  4. TCGPR TCGPR Public

    Machine Learning Algorithm : outlier identifying, feature selection

    Jupyter Notebook 7 4

  5. TCLRmodel TCLRmodel Public

    TCLR is a tree model for distinguish the mechanisms of data | document https://tclr.netlify.app/

    Python 22 5

  6. exQE exQE Public

    toolkit package of Quantum ESPRESSO

    Python 1 1