journal article·2018Open access

Large diffusion anisotropy and orientation sorting of phosphorene nanoflakes under a temperature gradient

Yuan Cheng, Gang Zhang, Yingyan Zhang, Tienchong Chang, Qing-Xiang Pei, Yongqing Cai, Yong-Wei Zhang

Nanoscale· Volume 10· Issue 4

Abstract

We perform molecular dynamics simulations to investigate the motion of phosphorene nanoflakes on a large graphene substrate under a thermal gradient. It is found that the atomic interaction between the graphene substrate and the phosphorene nanoflake generates distinct rates of motion for phosphorene nanoflakes with different orientations. Remarkably, for square phosphorene nanoflakes, the motion of zigzag-oriented nanoflakes is 2-fold faster than those of armchair-oriented and randomly-oriented nanoflakes. This large diffusion anisotropy suggests that sorting of phosphorene nanoflakes into specific orientations can be realized by a temperature gradient. The findings here provide interesting insights into strong molecular diffusion anisotropy and offer a novel route for manipulating two-dimensional materials.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: 2D Materials and Applications · MXene and MAX Phase Materials · Graphene research and applications

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

Affiliations

Institute of High Performance Computing

A*STAR

Singapore 138632

School of Computing

Engineering and Mathematics

Western Sydney University

Penrith

Australia

Shanghai Institute of Applied Mathematics and Mechanics

Shanghai Key Laboratory of Mechanics in Energy Engineering

Shanghai University

Shanghai 200072

People's Republic of China

Funding

Science and Engineering Research Council

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