Zezhong Zhang is a materials scientist and group lead with a decade of experience bridging advanced transmission electron microscopy, electron scattering theory, and atomistic simulations to study metallic phase transformations at the atomic scale. He currently leads a multidisciplinary team at the AI for Science Institute developing quantitative microscopy, scattering physics, AI-empowered microscopy applications, and big-data workflows. His academic trajectory includes a PhD from Monash and postdoctoral and research roles at University of Antwerp and Oxford, where he advanced STEM-EDS-EELS quantitative methods. Zezhong blends hands-on instrument expertise with computational modeling (DFT) to link symmetry and geometry from atomic arrangements to macroscopic phase behavior. He is known for combining precise experimental observation with theory to reveal subtle phase and scattering signatures that are often overlooked. Based in Beijing, he brings both academic rigor and practical R&D leadership to industrial-scale materials characterization challenges.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (B.E.), Metallurgical Engineering, Bachelor of Engineering (B.E.), Metallurgical Engineering at Central South University
Doctor of Philosophy - PhD, Materials Engineering, Doctor of Philosophy - PhD, Materials Engineering at Monash University
Manipulating DeePMD-kit, VASP, LAMMPS data formats.
Contributions:7 PRs, 11 pushes in 2 years
crosswordlammpspythonworkitemdatamining
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