A first-principles and machine-learning investigation on the electronic, photocatalytic, mechanical and heat conduction properties of nanoporous C<sub>5</sub>N monolayers.

Mortazavi, Bohayra; Shahrokhi, Masoud; Shojaei, Fazel; Rabczuk, Timon; Zhuang, Xiaoying; Shapeev, Alexander V

A first-principles and machine-learning investigation on the electronic, photocatalytic, mechanical and heat conduction properties of nanoporous C₅N monolayers.

Mortazavi, Bohayra; Shahrokhi, Masoud; Shojaei, Fazel; Rabczuk, Timon; Zhuang, Xiaoying; Shapeev, Alexander V.

Afiliación

Mortazavi B; Chair of Computational Science and Simulation Technology, Department of Mathematics and Physics, Leibniz Universität Hannover, Appelstraße 11, 30167 Hannover, Germany. Bohayra.mortazavi@gmail.com.
Shahrokhi M; Cluster of Excellence PhoenixD (Photonics, Optics, and Engineering - Innovation Across Disciplines), Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany.
Shojaei F; Young Researchers Club, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
Rabczuk T; Department of Chemistry, Faculty of Nano and Bioscience and Technology, Persian Gulf University, Bushehr 75169, Iran.
Zhuang X; College of Civil Engineering, Department of Geotechnical Engineering, Tongji University, 1239 Siping Road, Shanghai, China.
Shapeev AV; Chair of Computational Science and Simulation Technology, Department of Mathematics and Physics, Leibniz Universität Hannover, Appelstraße 11, 30167 Hannover, Germany. Bohayra.mortazavi@gmail.com.

Nanoscale ; 14(11): 4324-4333, 2022 Mar 17.

Article en En | MEDLINE | ID: mdl-35253027

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nanoscale Año: 2022 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido

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