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Barnie Cao 曹斌 Logo

Supervisor: Professor Zhang Tong-yi

Passionate about the unrestricted dissemination of knowledge, as well as research that is transparent and accessible.

Engaging in AI4CM (Artificial Intelligence for Computational Materials) research, focusing on crystal structure analysis and characterization. My research interests include:

  • Developing physics-informed machine learning algorithms
  • Spectroscopy methods and refinement of X-ray diffraction pattern
  • Coupled scattering between X-ray and crystals
  • Crystal electronic structure

Screenshotll Screenshot 2024-07-01 at 11 03 11 Screenshot 2024-07-02 at 11 03 11

barnie曹斌's Projects

bgolearn icon bgolearn

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

crystalxrd icon crystalxrd

an illustration that depicts the management of a crystal database

julia icon julia

The Julia Programming Language

kmmtransferregressor icon kmmtransferregressor

A library of transfer learning regression algorithms based on kernel mean matching for Instance transfer learning

mphil_shu icon mphil_shu

Data illustrated in my dissertation (2023) / Shanghai University / MPhil

pyscf icon pyscf

Python module for quantum chemistry

q-e icon q-e

Mirror of the Quantum ESPRESSO repository. Please do not post Issues or pull requests here. Use gitlab.com/QEF/q-e instead.

scikitlearn.jl icon scikitlearn.jl

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

simxrd icon simxrd

a simulated xrd pattern database

tcgpr icon tcgpr

Machine Learning Algorithm : outlier identifying， feature selection

tclrmodel icon tclrmodel

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

tradaboost icon tradaboost

Boosting for transfer learning with single / multiple source(s) Regression / Classification

wpem icon wpem

A X-ray Diffraction Refinement Software

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