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Synthesizable Two-Dimensional Haeckelites with Auxetic Behavior and Multifunctional Properties: A Computational Study Integrating Machine Learning Interatomic Potentials

Ehsan AlibagheriDepartment of Physics, University of Tehran, North Kargar Ave., Tehran 14395-547, IranMohammad KhazaeiDepartment of Physics, University of Tehran, North Kargar Ave., Tehran 14395-547, IranBassam RabihaviDepartment of Physics, University of Tehran, North Kargar Ave., Tehran 14395-547, IranAhmad RanjbarDynamics of Condensed Matter and Center for Sustainable Systems Design, Theoretical Chemistry, University of Paderborn, Warburger Str. 100, D-33098 Paderborn, GermanyThomas D. KühneCenter for Advanced Systems Understanding (CASUS) and Helmholtz-Zentrum Dresden-RossendorfS. Mehdi Vaez AllaeiDepartment of Chemical and Materials Engineering, New Uzbekistan University, Movarounnahr Street 1, Tashkent 100000, Uzbekistan

ACS Materials Lettersjournal2025en

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Machine Learning in Materials Science Nanocluster Synthesis and Applications 2D Materials and Applications

Identifikatorlar

DOI: 10.1021/acsmaterialslett.5c00809

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