Modeling heterojunctions: a computational chemistry perspective

Authors

Giovanni Di Liberto (ORCID: https://orcid.org/0000-0003-4289-2732)
Mesfin Eshete

Institutions

University of Milano-Bicocca (IT)

Publication Details

Journal: RSC Applied Interfaces
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5lf00104h
Citations: 4
Primary Topic: Machine Learning in Materials Science
Type: article
Field-Weighted Citation Impact: 2.07

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article

Modeling heterojunctions: a computational chemistry perspective

Giovanni Di Liberto, Mesfin Eshete

Jan 1, 2025

4 citations

RSC Applied Interfaces

Machine Learning in Materials Science

2.07

article

Modeling heterojunctions: a computational chemistry perspective

Giovanni Di Liberto, Mesfin Eshete

January 1, 2025article en

4 citations

Abstract

No abstract available for this paper.

RSC Applied InterfacesVol. 2(4)

University of Milano-Bicocca (IT)

Openalex Percentile: Top 13%

Machine Learning in Materials Science

2.07

DOI Open Access PDF OpenAlex

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Modeling heterojunctions: a computational chemistry perspective — Giovanni Di Liberto, Mesfin Eshete · RSC Applied Interfaces (2025) | TGRS Research Map | TGRS