Defects induce phase transition from dynamic to static rippling in graphene

Fuente: arXiv
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Auteurs principaux: Thiemann, Fabian L., Scalliet, Camille, Müller, Erich A., Michaelides, Angelos
Format: Preprint
Publié: 2024
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author Thiemann, Fabian L.
Scalliet, Camille
Müller, Erich A.
Michaelides, Angelos
author_facet Thiemann, Fabian L.
Scalliet, Camille
Müller, Erich A.
Michaelides, Angelos
contents Two-dimensional (2D) materials display nanoscale dynamic ripples that significantly impact their properties. Defects within the crystal lattice are the elementary building blocks to tailor the material's morphology. While some studies have explored the link between defective structures and rippling dynamics in 2D materials, a comprehensive understanding of this relationship has yet to be achieved. Here, we address this using machine learning-driven molecular dynamics simulations. Specifically, we find that above a critical concentration of defects, free-standing graphene sheets undergo a dynamic transition from freely propagating to static ripples. Our computational approach captures the dynamics with atomic resolution, and reveals that the transition is driven by elastic interactions between defects. The strength of these interactions is found to vary across defect types and we identify a unifying set of principles driving the dynamic-to-static transition in 2D materials. Our work not only rationalises puzzling experimental results for defective 2D materials, but also paves the way to design two-dimensional devices with tailored rippling dynamics. These insights could lay the foundations for a new class of disorder-based catalytic and interfacial materials.
format Preprint
id arxiv_https___arxiv_org_abs_2406_04775
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Defects induce phase transition from dynamic to static rippling in graphene
Thiemann, Fabian L.
Scalliet, Camille
Müller, Erich A.
Michaelides, Angelos
Materials Science
Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Soft Condensed Matter
Statistical Mechanics
Two-dimensional (2D) materials display nanoscale dynamic ripples that significantly impact their properties. Defects within the crystal lattice are the elementary building blocks to tailor the material's morphology. While some studies have explored the link between defective structures and rippling dynamics in 2D materials, a comprehensive understanding of this relationship has yet to be achieved. Here, we address this using machine learning-driven molecular dynamics simulations. Specifically, we find that above a critical concentration of defects, free-standing graphene sheets undergo a dynamic transition from freely propagating to static ripples. Our computational approach captures the dynamics with atomic resolution, and reveals that the transition is driven by elastic interactions between defects. The strength of these interactions is found to vary across defect types and we identify a unifying set of principles driving the dynamic-to-static transition in 2D materials. Our work not only rationalises puzzling experimental results for defective 2D materials, but also paves the way to design two-dimensional devices with tailored rippling dynamics. These insights could lay the foundations for a new class of disorder-based catalytic and interfacial materials.
title Defects induce phase transition from dynamic to static rippling in graphene
topic Materials Science
Disordered Systems and Neural Networks
Mesoscale and Nanoscale Physics
Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2406.04775