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Elasticity of Swollen and Folded Polyacrylamide Hydrogel Using the MARTINI Coarse-Grained Model
  • Rho, Seunghyok ;
  • Koh, Heeyuen ;
  • Yu, Ji Woong ;
  • Koo, Hye Been ;
  • Kim, Sebin ;
  • Jung, Je Yeon ;
  • Jung, Eun Yeong ;
  • Nam, Chongyong ;
  • Lee, Jae Young ;
  • Jeon, Kyounghwa ;
  • Chang, Jae Byum ;
  • Kim, Do Nyun ;
  • Lee, Won Bo
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Publication Year
2025-01-22
Journal
ACS Applied Materials and Interfaces
Publisher
American Chemical Society
Citation
ACS Applied Materials and Interfaces, Vol.17 No.3, pp.5340-5351
Keyword
coarse-grainingelasticityhydrogelsiterative Boltzmann iterationMARTINI force fieldmolecular dynamicspolyacrylamideswelling
Mesh Keyword
BoltzmannBoltzmann inversionCoarse GrainingCoarse-grained force fieldsCoarse-grained modelingForcefieldsIterative boltzmann iterationMARTINI force fieldPolyacrylamide hydrogelsPolymer conformation
All Science Classification Codes (ASJC)
Materials Science (all)
Abstract
One of the key advantages of using a hydrogel is its superb control over elasticity obtained through variations of constituent polymer and water. The underlying molecular nature of a hydrogel is a fundamental origin of hydrogel mechanics. In this article, we report a Polyacrylamide (PAAm)-based hydrogel model using the MARTINI coarse-grained (CG) force field. The MARTINI hydrogel is molecularly developed through Iterative Boltzmann inversion (IBI) using all-atom molecular dynamics (AAMD), and its quality is evaluated through the experimental realization of the target hydrogel. The developed model offers a mechanically high-fidelity CG hydrogel that can access large-scale water-containing hydrogel behavior, which is difficult to explore through AAMD in practical time. With the modeled hydrogel, we reveal that the polymer conformation modulates the elasticity of the hydrogel from a folded state to a swollen state, confirmed by the Panyukov model. The results provide a robust bridge for linking the polymer conformations and alignment to their bulk deformation, enabling the multifaceted and material-specific predictions required for hydrogel applications.
ISSN
1944-8252
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38417
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85214327686&origin=inward
DOI
https://doi.org/10.1021/acsami.4c18162
Journal URL
http://pubs.acs.org/journal/aamick
Type
Article
Funding
This research was supported by the National Convergence Research of Scientific Challenges through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2020M3F7A1094299, NRF-2020M3F7A1094300), also benefited from an individual grant from CAINS supported by a KIAS Individual Grant (AP091501) via the Center for AI and Natural Sciences at Korea Institute for Advanced Study.
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Department of Mechanical Engineering
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