3 papers
physics.chem-ph2025
Multi-timescale time encoding for CNN prediction of Fenna-Matthews-Olson energy-transfer dynamics
Shun-Cai Zhao, Yi-Meng Huang, Yi-Fan Yang +1
Machine learning simulations of open quantum dynamics often rely on recursive predictors that accumulate error. We develop a non-recursive convolutional neural networks (CNNs) that…
physics.chem-ph2024
Quantum dynamics evolution predicted by the long short-term memory network in the photosystem II reaction center
Zi-Ran Zhao, Shun-Cai Zhao, Yi-Meng Huang
Predicting future physical behavior from limited theoretical simulation data is an emerging research paradigm driven by the integration of artificial intelligence and quantum physi…
physics.app-ph2024
Predicting quantum evolutions of excitation energy transfer in a light-harvesting complex using multi-optimized recurrent neural networks
Shun-Cai Zhao, Yi-Meng Huang, Zi-Ran Zhao
Constructing models to discover physics underlying magnanimous data is a traditional strategy in data mining which has been proved to be powerful and successful. In this work, a mu…