In Silico Demonstration of Fast Anhydrous Proton Conduction on Graphanol.

Achar, Siddarth K; Bernasconi, Leonardo; DeMaio, Ruby I; Howard, Katlyn R; Johnson, J Karl

Achar, Siddarth K; Bernasconi, Leonardo; DeMaio, Ruby I; Howard, Katlyn R; Johnson, J Karl.

Afiliación

Achar SK; Computational Modeling & Simulation Program, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Bernasconi L; Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
DeMaio RI; Center for Research Computing and Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States.
Howard KR; Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Johnson JK; Department of Chemical & Petroleum Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.

ACS Appl Mater Interfaces ; 15(21): 25873-25883, 2023 May 31.

Article en En | MEDLINE | ID: mdl-37192530

Palabras clave

2-D materials; density functional theory; lattice Monte Carlo; machine learning; molecular dynamics; proton conductivity

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: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 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