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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) under the supervision of Prof. ZHANG Tongyi. 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 87 15

  2. TrAdaboost TrAdaboost Public

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

    Python 36 8

  3. TCLRmodel TCLRmodel Public

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

    Python 22 5

  4. TCGPR TCGPR Public

    Machine Learning Algorithm : outlier identifying, feature selection

    Jupyter Notebook 7 4