Bonati, L., Trizio, E., Rizzi, A., & Parrinello, M. (2023). A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar. Journal of Chemical Physics, 159(1), 1-13. https://doi.org/10.1063/5.0156343
ISO-690 (author-date, English)BONATI, Luigi, TRIZIO, Enrico, RIZZI, Andrea und PARRINELLO, Michele, 2023. A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar. Journal of Chemical Physics. 7 Juli 2023. Vol. 159, no. 1, p. 1-13. DOI 10.1063/5.0156343.
Modern Language Association 9th editionBonati, L., E. Trizio, A. Rizzi, und M. Parrinello. „A Unified Framework for Machine Learning Collective Variables for Enhanced Sampling Simulations: Mlcolvar.“. Journal of Chemical Physics, Bd. 159, Nr. 1, Juli 2023, S. 1-13, https://doi.org/10.1063/5.0156343.
Mohr Siebeck - Recht (Deutsch - Österreich)Bonati, Luigi/Trizio, Enrico/Rizzi, Andrea/Parrinello, Michele: A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar., Journal of Chemical Physics 2023, 1-13.
Emerald - HarvardBonati, L., Trizio, E., Rizzi, A. und Parrinello, M. (2023), „A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar.“, Journal of Chemical Physics, Vol. 159 No. 1, S. 1-13.