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Advancing Polymer Science: Molecular Dynamics Simulations and Sustainable Recycling Innovations

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

Deadline for manuscript submissions: 15 June 2025 | Viewed by 1326

Special Issue Editors


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Guest Editor
Department of Chemical Engineering, Faculty of Engineering, Fukuoka University, Fukuoka, Japan
Interests: polymer physics; functional materials; rheology; plastic mechanical recycle; compounding; molding
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Central Research Institute, Fukuoka University, Fukuoka 814-0180, Japan
Interests: computational material science; polymer physics; modeling and simulations of plastics; computational rheology for sustainable recycling of polymers; energy materials; DFT; and non-equilibrium molecular dynamics simulations

Special Issue Information

Dear Colleagues,

The sustainable recycling of polymers has become urgent. Molecular dynamics (MD) simulations are indispensable in predicting polymer behavior and can facilitate the design of environmentally friendly materials and optimize recycling processes. MD simulations have been utilized in addressing several contemporary issues in polymer sciences and have assisted in justifying the hypothesis of experimentation. The articles included in this issue will highlight the crucial role of molecular dynamics simulations in advancing sustainable polymer recycling practices. This Special Issue focuses on the intersection of polymer science, molecular dynamics simulations, and sustainable recycling methods. These reviews emphasize the potential of MD simulations to drive innovation and propel the polymer industry toward a more sustainable future. Topics will include, but are not limited to, the following:

  • Polymer recycling and sustainable polymers;
  • Circular economy;
  • Molecular dynamics simulations, and physical, chemical, and mechanical properties;
  • Polymer rheology and relaxation;
  • Polymer crystallization and structure–property relationship;
  • Polymer physical degradation, deterioration, and regeneration;
  • Composite polymers and sustainability;
  • Biopolymers and recycling strategies.

Prof. Dr. Shigeru Yao
Dr. Mohammed Althaf Hussain
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • molecular dynamics simulations
  • non-equilibrium molecular dynamics simulations
  • polymer rheology
  • relaxation
  • polymer crystallization
  • sustainable polymers
  • mechanical behavior
  • polymer degradation or deterioration.

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Published Papers (1 paper)

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Research

18 pages, 2292 KiB  
Article
Modelling Across Multiple Scales to Design Biopolymer Membranes for Sustainable Gas Separations: 2-Multiscale Approach
by Kseniya Papchenko, Eleonora Ricci and Maria Grazia De Angelis
Polymers 2024, 16(19), 2776; https://doi.org/10.3390/polym16192776 - 30 Sep 2024
Cited by 1 | Viewed by 747
Abstract
The majority of materials used for membrane-based separation of gas mixtures are non-renewable and non-biodegradable, and the assessment of alternative bio-based polymers requires expensive and time-consuming experimental campaigns. This effort can be reduced by adopting suitable modelling approaches. In this series of works, [...] Read more.
The majority of materials used for membrane-based separation of gas mixtures are non-renewable and non-biodegradable, and the assessment of alternative bio-based polymers requires expensive and time-consuming experimental campaigns. This effort can be reduced by adopting suitable modelling approaches. In this series of works, we propose various modelling approaches to assess the CO2/CH4 separation performance of eight different copolymers of 3-hydroxybutyrate and 3-hydroxyvalerate (PHBV) using a limited amount of experimental data for model calibration. In part 1, we adopted a fully atomistic approach based on Molecular Dynamics (MD), while, in this work, we propose a multiscale methodology where a molecular description of the polymers is bridged to a macroscopic prediction of its gas sorption behaviour. PHBV structures were simulated using MD to obtain pressure–volume–temperature data, which were used to parametrise the Sanchez–Lacombe Equation of State. This, in turn, allows for the evaluation of the CO2 and CH4 solubility in the copolymers at various pressures and compositions with little computational effort, enabling the estimate of the sorption-based selectivity. The gas separation performance obtained with this multiscale technique was compared to results obtained with a fully atomistic model and experimental data. The solubility–selectivity for the CO2/CH4 mixture is in reasonable agreement between the two models and the experimental data. The multiscale method presented is a time-efficient alternative to fully atomistic methods and detailed experimental campaigns and can accelerate the introduction of renewable materials in different applications. Full article
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