journal article·2025

Physicochemical characterization of a new porous 2D semiconductor carbon allotrope, C 16 : an investigation via density functional theory and machine learning-based molecular dynamics

K. A. L. Lima, R. A. F. Alves, E. A. Moujaes, A. C. Dias, D. S. Galvõo, M. L. Pereira, Luiz A. Ribeiro

Nanoscale· Volume 17· Issue 24
Publisher page

Abstract

This study comprehensively characterizes, with suggested applications, a novel two-dimensional carbon allotrope, C16, 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 hybridization and featuring 3-, 4-, 6-, 8-, and 10-membered rings. The cohesive energy of -7.1 eV per atom, the 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. The nanomaterial exhibits a semiconducting behavior with a direct band gap of 0.59 eV and anisotropic optical absorption in the y direction. Assuming a complete absorption of incident light, it registers a power conversion efficiency of 13%, demonstrating relatively good potential for applications in solar energy conversion. Excluding the vacuum effect along the non-periodic z direction, the planar lattice thermal conductivity κL reaches ultralow values of 1.90 × 10-2 W (m K)-1, 0.90 × 10-2, and 0.59 × 10-2 for T = 300 K, 600 K, and 1000 K, respectively along both x and y directions. Very close to the Fermi level, the thermoelectric figure of merit (zT) can reach a maximum value of 0.93 at room temperatures along both planar directions, indicating an excellent ability to convert a temperature gradient into electrical power. Additionally, C16 demonstrates high mechanical strength, with Young's modulus values of 500 GPa and 630 GPa in the x and y directions, respectively. Insights into the electronic, optical, thermoelectric, and mechanical properties of C16 reveal its promising capability for energy conversion applications.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Graphene research and applications · 2D Materials and Applications · Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Physics and Center for Computational Engineering and Sciences, State University of Campinas, Campinas, Sõo Paulo, 13083-859, Brazil

Institute of Physics, University of Brasília, 70910-900, Brasília, Brazil

Computational Materials Laboratory, LCCMat, Institute of Physics, University of Brasília, 70910-900, Brasília, Brazil

Institute of Physics, Department of Solid State Physics, Federal University of Bahia, Campus Ondina, 40170-115, Salvador, Brazil

International Center of Physics, University of Brasília, Brasília, 70910-900, Brazil

University of Brasília, College of Technology, Department of Electrical Engineering, Federal District, 70919-970, Brasília, Brazil

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico · Fundação de Apoio à Pesquisa do Distrito Federal · Coordenação de Aperfeiçoamento de Pessoal de Nível Superior · Fundação de Amparo à Pesquisa do Estado de São Paulo

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