Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/137966
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Type: | Journal article |
Title: | Continuum Modeling with Functional Lennard-Jones Parameters for DNA-Graphene Interactions |
Author: | Stevens, K. Thamwattana, N. Tran-Duc, T. |
Citation: | Advanced Theory and Simulations, 2023; 6(5):2200896-1-2200896-14 |
Publisher: | Wiley |
Issue Date: | 2023 |
ISSN: | 2513-0390 2513-0390 |
Statement of Responsibility: | Kyle Stevens, Ngamta Thamwattana, and Thien Tran-Duc |
Abstract: | Carbon nanostructures are of particular interest as platforms for molecular storage and adsorption. In this paper, the adsorption of a single stranded DNA molecule onto a graphene sheet is considered. Even though DNA molecules are complicated heterogeneous structures comprising several types of atoms, it is found that the repeated patterns within the DNA molecules enable the use of a continuum approach to model the DNA-graphene sheet interaction. Here, a model is proposed such that the heterogeneity across the DNA molecule is captured by interaction functions, which are used to replace the attractive and repulsive constants in the Lennard-Jones potential. Result from this new model shows better agreement to molecular dynamics simulations compared to the traditional continuum approach where atoms on the DNA are averaged evenly across the molecule. Finally, the paper comments on the model, its parameters, and suggests ways for improvement. |
Description: | Published May 2023 |
Rights: | © 2023 The Authors. Advanced Theory and Simulations published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
DOI: | 10.1002/adts.202200896 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102705 |
Published version: | http://dx.doi.org/10.1002/adts.202200896 |
Appears in Collections: | Computer Science publications |
Files in This Item:
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hdl_137966.pdf | Published version | 2.4 MB | Adobe PDF | View/Open |
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