Unsupervised machine learning algorithms as support tools in molecular dynamics simulations

Unsupervised Machine Learning algorithms such as clustering offer convenient features for data analysis tasks. When combined with other tools like visualization software, the possibilities of automated analysis may be greatly enhanced. In the context of Molecular Dynamics simulations, in particular...

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Detalles Bibliográficos
Autores principales: Rim, Daniela, Moyano, Luis G., Millán, Emmanuel N.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Machine Learning
Unsupervised Algorithms
Molecular Dynamics
Granular Collisions
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/87939
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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