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Physicochemical Characterization of a New 2D Semiconductor Carbon Allotrope, C16: An Investigation via Density Functional Theory and Machine Learning-based Molecular Dynamics

Materials Science 2025-03-18 v1 Mesoscale and Nanoscale Physics

Abstract

This study comprehensively characterizes, with suggested applications, a novel two-dimensional carbon allotrope, C16_{16}, using Density Functional Theory and machine learning-based molecular dynamics. This nanomaterial is derived from naphthalene and bicyclopropylidene molecules, forming a planar configuration with sp2^2 hybridization and featuring 3-, 4-, 6-, 8-, and 10-membered rings. Cohesive energy of \SI{-7.1}{\electronvolt/atom}, absence of imaginary frequencies in the phonon spectrum, and the retention of the system's topology after ab initio molecular dynamics simulations confirm the structural stability of C16_{16}. The nanomaterial exhibits a semiconducting behavior with a direct band gap of \SI{0.59}{\electronvolt} and anisotropic optical absorption in the yy direction. Assuming a complete absorption of incident light, it registers a power conversion efficiency of \SI{13}{\percent}, demonstrating relatively good potential for applications in solar energy conversion. The thermoelectric figure of merit (zTzT) reaches 0.8 at elevated temperatures, indicating a reasonable ability to convert a temperature gradient into electrical power. Additionally, C16_{16} demonstrates high mechanical strength, with Young's modulus values of \SI{500}{\giga\pascal} and \SI{630}{\giga\pascal} in the xx and yy directions, respectively. Insights into the electronic, optical, thermoelectric, and mechanical properties of C16_{16} reveal its promising capability for energy conversion applications.

Keywords

Cite

@article{arxiv.2503.11796,
  title  = {Physicochemical Characterization of a New 2D Semiconductor Carbon Allotrope, C16: An Investigation via Density Functional Theory and Machine Learning-based Molecular Dynamics},
  author = {Kleuton A. L. Lima and Rodrigo A. F. Alves and Elie A. Moujaes and Alexandre C. Dias and Douglas S. Galvão and Marcelo L. Pereira and Luiz A. Ribeiro},
  journal= {arXiv preprint arXiv:2503.11796},
  year   = {2025}
}

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22 pages