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The SubNano project aims to accelerate the simulation of photoexcited molecules to study nonadiabatic dynamics in nucleic acids. It utilizes advanced machine learning algorithms to extend simulation capabilities into the sub-nanosecond timescale.
My goal in the SubNano project is to massively speed up the dynamics simulation of photoexcited molecules to allow addressing sub-nanosecond phenomena (that is, one thousand times above the current limits).
The sub-ns methodology will be employed to investigate the long timescale nonadiabatic dynamics of photoinduced processes in nucleic acids, including DNA photostabilization via excitonic processes, biological fluorescent markers, and transient anion formation in DNA repair.To fulfill these go…
UNIVERSITE D'AIX MARSEILLE
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