- 🔭 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.
🏞️
working from extraterrestrial space
Cease to struggle and you cease to live.
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Sinopec (Beijing) Research Institute of Chemical Industry
- BeiJing
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23:47
(UTC +08:00) - www.linkedin.com/in/kaifeng-zheng
- https://orcid.org/0000-0001-6766-1805
Highlights
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CNN_EXAFS_PDF
CNN_EXAFS_PDF PublicThis 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
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GA_nano_generator
GA_nano_generator Publicgenerate nanoparticles by given descriptors using genetic algorithm
Jupyter Notebook 1
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Multitasking_FEFF_calculator
Multitasking_FEFF_calculator PublicRunning FEFF tasks in parallel
Python 1
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