Media type: E-Article Title: Machine learning enables long time scale molecular photodynamics simulations Contributor: Westermayr, Julia; Gastegger, Michael; Menger, Maximilian F. S. J.; Mai, Sebastian; González, Leticia; Marquetand, Philipp imprint: Royal Society of Chemistry (RSC), 2019 Published in: Chemical Science Language: English DOI: 10.1039/c9sc01742a ISSN: 2041-6520; 2041-6539 Origination: Footnote: Description: <p>Machine learning enables excited-state molecular dynamics simulations including nonadiabatic couplings on nanosecond time scales.</p> Access State: Open Access