Structural, electronic, thermal and mechanical properties of C60-based fullerene two-dimensional networks explored by first-principles and machine learning
Bohayra Mortazavi

TL;DR
This study uses first-principles calculations and machine learning to explore the stability and properties of novel C60-based 2D and 1D fullerene networks, revealing their potential as nanomaterials with unique thermal and mechanical features.
Contribution
The paper introduces a comprehensive theoretical analysis of new C60-based fullerene lattices, combining first-principles and machine learning methods to evaluate their properties.
Findings
Identified stable 2D, 1D, and porous C60 networks with energies close to isolated C60.
Confirmed thermal stability and diverse electronic behaviors (metallic, semimetallic, semiconducting).
Predicted high mechanical strength and anisotropic thermal conductivity in these networks.
Abstract
Recent experimental reports on the realizations of two-dimensional (2D) networks of the C60-based fullerenes with anisotropic and nanoporous lattices represent a significant advance, and create exciting prospects for the development of a new class of nanomaterials. In this work, we employed theoretical calculations to explore novel C60-based fullerene lattices and subsequently evaluate their stability and key physical properties. After the energy minimization of extensive structures, we could detect novel 2D, 1D and porous carbon C60-based networks, with close energies to that of the isolated C60 cage. Density functional theory results confirm that the C60-based networks can exhibit remarkable thermal stability, and depending on their atomic structure show metallic, semimetallic or semiconducting electronic nature. Using the machine learning interatomic potentials, thermal and…
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