Guangshuai(Jerry) Han
Guangshuai Han is a fourth-year PhD candidate in Civil Engineering at Purdue University. His research focuses on utilizing AI algorithms to design materials with specialized properties, such as thermoelectric and dielectric materials. Additionally, he works on sensor design and AI-assisted signal processing for applications including structural health monitoring, wearable electronics, and pharmaceutical quality control. Guangshuai has collaborated with numerous funding sources, including the National Science Foundation, Indiana Department of Transportation, Pfizer, Eli Lilly, and Genentech.

Most of my work is currently under review, so the majority of my GitHub Pages are temporarily unavailable. They will be accessible as soon as conditions permit.

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01 AI-Assisted Material Desin

AI-Assisted Material Desin
Category: Computational Materials Science/AI 4 ScienceThis project is focused on leveraging cutting-edge artificial intelligence and computational materials science to revolutionize material design, particularly in thermoelectric and piezoelectric performance prediction and representation. By encoding materials' electronic structures, chemical compositions, and spatial information, and integrating these with state-of-the-art AI algorithms, I’m aimming to build a robust and efficient model that can predict and identify optimal materials based on targeted needs.

A key component of this work is the development and implementation of physically inspired neural networks, which are not only capable of high accuracy predictions but also provide interpretability, crucial for understanding the underlying material phenomena. This approach allows for the discovery of materials with desired properties more efficiently than traditional methods.

I am also an active contributor to the open-source community, focusing on model development, material database construction, and material genomics representation. Some of the scripts for model building, material database generation, and high-throughput DFT calculations can be found on my GitHub page. While many of my projects are currently under review, and some repositories remain private, they will be made public as soon as possible.

Github Page:
Thermoelectric Materials Discovery: TE_DIS
Piezoelectric Materials Design: Piezo_dis
Piezoelectric Materials High-throughput DFT Calculation: Piezo_dis

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