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High-dimensional neural network potentials for accurate vibrational frequencies: the formic acid dimer benchmark

In recent years, machine learning potentials (MLP) for atomistic simulations have attracted a lot of attention in chemistry and materials science. Many new approaches have been developed with the primary aim to transfer the accuracy of electronic structure calculations to large condensed systems con...

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Detalles Bibliográficos
Autores principales: Shanavas Rasheeda, Dilshana, Martín Santa Daría, Alberto, Schröder, Benjamin, Mátyus, Edit, Behler, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749085/
https://www.ncbi.nlm.nih.gov/pubmed/36459127
http://dx.doi.org/10.1039/d2cp03893e