Machine Learning-Guided Approach for Studying Solvation Environments.

Basdogan, Yasemin; Groenenboom, Mitchell C; Henderson, Ethan; De, Sandip; Rempe, Susan B; Keith, John A

Basdogan, Yasemin; Groenenboom, Mitchell C; Henderson, Ethan; De, Sandip; Rempe, Susan B; Keith, John A.

Afiliación

Basdogan Y; Department of Chemical and Petroleum Engineering Swanson School of Engineering , University of Pittsburgh , Pittsburgh 15261 , Pennsylvania , United States.
Groenenboom MC; Department of Chemical and Petroleum Engineering Swanson School of Engineering , University of Pittsburgh , Pittsburgh 15261 , Pennsylvania , United States.
Henderson E; Department of Chemical and Petroleum Engineering Swanson School of Engineering , University of Pittsburgh , Pittsburgh 15261 , Pennsylvania , United States.
De S; Laboratory of Computational Science and Modelling, Institute of Materials , École Polytechnique Fédérale de Lausanne , Lausanne 1015 , Switzerland.
Rempe SB; Department of Nanobiology , Sandia National Laboratories , Albuquerque 87185 , New Mexico , United States.
Keith JA; Department of Chemical and Petroleum Engineering Swanson School of Engineering , University of Pittsburgh , Pittsburgh 15261 , Pennsylvania , United States.

J Chem Theory Comput ; 16(1): 633-642, 2020 Jan 14.

Article en En | MEDLINE | ID: mdl-31809056

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Chem Theory Comput Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google