Unlocking the Potential of Dual-Ion Batteries: Identifying Polycyclic Aromatic Hydrocarbon Cathodes and Intercalating Salt Combinations through Machine Learning.

Das, Sandeep; Manna, Souvik; Pathak, Biswarup

Das, Sandeep; Manna, Souvik; Pathak, Biswarup.

Afiliación

Das S; Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India.
Manna S; Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India.
Pathak B; Department of Chemistry, Indian Institute of Technology (IIT) Indore, Indore, Madhya Pradesh 453552, India.

ACS Appl Mater Interfaces ; 15(47): 54520-54529, 2023 Nov 29.

Article en En | MEDLINE | ID: mdl-37973157

Palabras clave

dual-ion batteries; machine learning; polycyclic aromatic hydrocarbons; salts; voltage prediction; volume change

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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: India Pais de publicación: Estados Unidos

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