معرفی
Chenchen Song is Assistant Professor in the Department of Chemistry at UC Davis, specializing in theoretical chemistry. Her research develops quantum mechanical methods to model photochemical processes in biological systems and energy applications. She employs GPU-accelerated computing to enable large-scale simulations.
Her research program focuses on:
- Developing polarizable QM/MM models for photoreactions
- Advancing CASSCF and CASPT2 methodologies
- Creating efficient tensor factorization algorithms
- Studying photochemistry in solvents and proteins
Recent publications demonstrate strong emphasis on:
- Hybrid quantum/classical methods for biomolecular systems
- Scalable multireference electronic structure theory
- GPU-accelerated computational frameworks
- Nonadiabatic dynamics in complex environments
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