Computational Modeling of Polymers II

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Physics and Theory".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 1497

Special Issue Editors


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Guest Editor
Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
Interests: QSAR and QSTR models; machine learning; molecular dynamics; coarse-grained; polymers; nanotechnology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Science and Technology Park, University of Porto, 4169-007 Porto, Portugal
Interests: QSAR and QSTR models; machine learning; molecular dynamics; coarse-grained; polymers; nanotechnology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of new and innovative polymers is a challenging task. Classical approaches are time and money consuming and should be replaced by computational methodologies that allow the fast and accurate development of innovative materials. Computational modelling has been utilized for alternative approaches and is now indispensable to assist experiments while developing new polymers. In addition, computational methodologies can also help us to study and define the mechanical and physical properties of polymers. In this context, quantum-mechanical calculations, all-atomistic and coarse-grained molecular dynamics simulations, and elastic network models have become a powerful tool for analysing complex physical phenomena, i.e., bond vibrations, diffusion, and rheology of polymeric materials.
The main aim of this Special Issue is to investigate more recent computational approaches used to develop and study polymers. This Special Issue will provide an opportunity for scientists, engineers, and practitioners to present their more relevant studies and findings in this area.

Dr. Riccardo Concu
Dr. Michael González-Durruthy
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • computational modelling
  • polymers
  • quantum-mechanical calculations
  • all-atomistic molecular dynamics
  • coarse-grained molecular dynamics
  • elastic network model

Published Papers (1 paper)

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Research

15 pages, 3515 KiB  
Article
Thermal Conductivities of Uniform and Random Sulfur Crosslinking in Polybutadiene by Molecular Dynamic Simulation
by Tannaz Alamfard, Tommy Lorenz and Cornelia Breitkopf
Polymers 2023, 15(9), 2058; https://0-doi-org.brum.beds.ac.uk/10.3390/polym15092058 - 26 Apr 2023
Cited by 4 | Viewed by 1258
Abstract
Thermal conductivities of polybutadiene crosslinked with sulfur as a function of the heat flux autocorrelation function by using an equilibrium molecular dynamic (EMD) simulation were investigated. The Green–Kubo method was used to calculate thermal conductivities. All simulations were performed by applying the LAMMPS [...] Read more.
Thermal conductivities of polybutadiene crosslinked with sulfur as a function of the heat flux autocorrelation function by using an equilibrium molecular dynamic (EMD) simulation were investigated. The Green–Kubo method was used to calculate thermal conductivities. All simulations were performed by applying the LAMMPS software (version 3 Mar 2020) package. The united-atom force field (OPLS-UA) from the Moltemplate software (version 2.20.3) was applied in the simulations. The influence of uniform and random distributions of sulfur in polybutadiene on the final value of thermal conductivities was studied by polymeric model structures with similar and variable degrees of crosslinking. The results showed that for identical degrees of crosslinking, the distribution of crosslinkers in the polymeric model structures significantly influenced the final value of thermal conductivity. Moreover, the influence of the crosslinking degree on the final value of thermal conductivity was studied by considering polymeric model structures with different degrees of crosslinking. The results demonstrate that by having a random distribution of sulfur, the thermal conductivity will be enhanced. However, by increasing the degree of crosslinking to the higher percentage in random crosslinked model structures, the value of thermal conductivity drops significantly due to possible higher crystallization of the model structures, which decrease the degree of freedom for phonon contributions. Full article
(This article belongs to the Special Issue Computational Modeling of Polymers II)
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