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Researcher at Research Department
Ask questions about Zhenggang Lan's research, publications, and ongoing work
Developed the JADE program for nonadiabatic molecular dynamics simulations of polyatomic systems, enabling the study of complex photochemical processes.
Investigated phonon-assisted ultrafast charge transfer at van der Waals heterostructure interfaces, providing insights into the dynamics of charge separation in these materials.
Demonstrated the crucial role of intramolecular hydrogen bonding in the photophysics and photochemistry of the Green Fluorescent Protein (GFP) chromophore.
Conducted on-the-fly surface-hopping studies to investigate the photoinduced nonadiabatic dynamics of pyrimidine nucleobases, contributing to the understanding of DNA photostability.
Utilized the multilayer multiconfigurational time-dependent Hartree (ML-MCTDH) method to study the ultrafast nonadiabatic dynamics of singlet fission, relevant to organic photovoltaics.
Developed a method for simulating open quantum dynamics using bootstrap-based long short-term memory recurrent neural networks, advancing the application of machine learning in quantum dynamics.
Studied the exciton dynamics in perylene bisimide (PBI) aggregates using symmetrical quasiclassical dynamics, providing insights into energy transfer processes in organic materials.
Zhenggang Lan is a leading expert in theoretical and computational chemistry, specializing in nonadiabatic molecular dynamics, photochemistry, and the development of computational tools for simulating ultrafast chemical processes. His research significantly advances our understanding of light-matter interactions and energy transfer in complex molecular systems.
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