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Machine learning enables long time scale molecular photodynamics simulations† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc01742a

Machine learning enables excited-state molecular dynamics simulations including nonadiabatic couplings on nanosecond time scales. Click to show full abstract

Machine learning enables excited-state molecular dynamics simulations including nonadiabatic couplings on nanosecond time scales.

Keywords: enables long; long time; machine learning; learning enables

Journal Title: Chemical Science
Year Published: 2019

Link to full text (if available)


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