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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 KhazaeiInstitute for Research in Fundamental Sciences (IPM)Bassam RabihaviDepartment of Physics, University of Tehran, North Kargar Ave., Tehran 14395-547, IranAhmad RanjbarCenter for Advanced Systems UnderstandingThomas D. KühneCenter for Advanced Systems Understanding (CASUS) and Helmholtz-Zentrum Dresden-RossendorfS. Mehdi Vaez AllaeiDepartment of Physics, University of Tehran, North Kargar Ave., Tehran 14395-547, Iran

ACS Materials Lettersjournal2025en

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Mavzular

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

Identifikatorlar

DOI: 10.1021/acsmaterialslett.5c00809

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