Hsing-Ta Chen

Research

Research in the Chen group focuses on developing theoretical tools and using high performance computing facilities aimed at excited-state dynamics and light-matter interactions. The systems studied range from plasmonic excitation of metallic clusters, laser-driven non-adiabatic molecular dynamics, and collective optical response of molecular ensembles. These systems are of key importance for understanding many recent experimental advances that cannot be accurately predicted by current theoretical approaches. Our major goal is to develop reliable theoretical models and simulation methods to guide experimental improvements in next-generation photovoltaic cells and facilitate new design principles for enhancing energy conversion efficiency.

Research Interests

Light-Matter Interactions, Complex Interfaces, Computational Chemistry, Quantum Simulations, Energy Conversion and Efficiency

Relevant Energy Publications

1. Li, Tao E., Hsing-Ta Chen, Abraham Nitzan, and Joseph E. Subotnik. "Quasiclassical modeling of cavity quantum electrodynamics." Physical Review A 101, no. 3 (2020): 033831.
2. Zhou, Zeyu, Hsing-Ta Chen, Abraham Nitzan, and Joseph Eli Subotnik. "Nonadiabatic dynamics in a laser field: Using Floquet fewest switches surface hopping to calculate electronic populations for slow nuclear velocities." Journal of chemical theory and computation 16, no. 2 (2020): 821-834
3. Chen, Hsing-Ta, Tao E. Li, Abraham Nitzan, and Joseph E. Subotnik. "Understanding detailed balance for an electron-radiation system through mixed quantum-classical electrodynamics." Physical Review A 100, no. 1 (2019): 010101.
4. Chen, Hsing-Ta, Tao E. Li, Maxim Sukharev, Abraham Nitzan, and Joseph E. Subotnik. "Ehrenfest+ R dynamics. I. A mixed quantum–classical electrodynamics simulation of spontaneous emission." The Journal of chemical physics 150, no. 4 (2019): 044102.
5. Li, Tao E., Hsing-Ta Chen, and Joseph E. Subotnik. "Comparison of Different Classical, Semiclassical, and Quantum Treatments of Light–Matter Interactions: Understanding Energy Conservation." Journal of chemical theory and computation 15, no. 3 (2019): 1957-1973.