معرفی
Xin Qi is an Assistant Professor of Chemistry at Dartmouth College, specializing in computational modeling of nanomaterials. His research focuses on multiscale theoretical frameworks to understand catalysis, shape-controlled synthesis, and self-assembly processes, aiming to achieve simulation-guided functional nanomaterial design.
Education: Postdoctoral studies at University of Washington, Ph.D. from Pennsylvania State University, and B.S.E. from University of Iowa.
Research interests include physical chemistry, solid-state nanomaterials, heterogeneous catalysis, and the integration of classical/ reactive molecular dynamics with density functional theory. His work emphasizes inverse design principles for optimized nanomaterial performance in energy, electronics, catalysis, and biomedicine.
Recent publications highlight advancements in computational screening of solid-binding peptides, nanoparticle assembly dynamics, and biomimetic polymer design for mineralization. Qi’s lab employs methods spanning statistical mechanics, machine learning, and rare event sampling.
Teaches Chem 75 (Physical Chemistry I). Active in interdisciplinary collaborations, as evidenced by co-authored papers with materials scientists and bioengineers.
