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working from extraterrestrial space
🏞️
working from extraterrestrial space
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kaifengZheng/README.md

Hi there 👋

  • 🔭 I’m currently working on machine-learning models to decode X-ray absorption spectroscopy, aiming to understand the morphological and structural information of nanomaterials.
  • 🌱 To achieve this goal, I’m currently deepening my knowledge in the fundamental physics behind XAS, neural network architectures, global optimization techniques (such as genetic algorithm and simulated annealing), advanced Python programming, computer algorithms, and utilization of chemical visualization tools like Blender, Vista, and Matplotlib.

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NobleMajo

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  1. Mathematics-Optimization Mathematics-Optimization Public

    This repository is for optimization problems using multiply programming languages, mainly MATLAB for now.

    MATLAB

  2. xraylarch xraylarch Public

    Forked from xraypy/xraylarch

    Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging, and more.

    Python

  3. 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

  4. Stochastic-Learning Stochastic-Learning Public

    Using R and Matlab to learning data

    MATLAB

  5. CNN_EXAFS_PDF CNN_EXAFS_PDF Public

    This repo contains all codes related to the work entitled "Decoding the Pair Distribution Function of Uranium in Molten Fluoride Salts from X-ray Absorption Spectroscopy Data by Machine Learning"

    Jupyter Notebook