Uppsala University | Sweden
Shaoqi Zhan is a researcher at Uppsala University with multidisciplinary training in computational chemistry, materials science, and machine learning. His research focuses on developing streamlined computational strategies and deep learning–based models to accelerate catalyst design and uncover reaction mechanisms under realistic conditions. He has published extensively in top-tier journals, with strong authorship contributions and a solid citation record. His work bridges theory and experiment through international collaborations across academia and industry, including catalyst synthesis and medicinal chemistry. His contributions advance sustainable chemistry by integrating multiscale modeling, AI, and materials innovation.
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