Computational and Experimental Approaches in Polymeric Materials, 2nd Edition

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

Deadline for manuscript submissions: 20 July 2025 | Viewed by 649

Special Issue Editors


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Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, 28040 Madrid, Spain
Interests: biomolecular modelling; enzyme catalysis; QM/MM
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Departamento de Medicina Traslacional, Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
Interests: molecular dynamics; bioinformatics; rhodopsins
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of the Special Issue "Computational and Experimental Approaches in Polymeric Materials", https://www.mdpi.com/journal/polymers/special_issues/816CP5T037, we are delighted to launch the second volume of this Special Issue, now entitled "Computational and Experimental Approaches in Polymeric Materials, 2nd Edition".

Polymers are advanced materials with numerous applications, and are present in almost every aspect of our daily life. Natural and synthetic polymers are widely employed in technology and industry, and are studied in relation to a range of scientific areas. Therefore, to fully capitalize upon the use of polymeric materials, technological advances must converge with chemical, physical, digital, and biological sciences. In addition, high-quality and in-depth insights into the physical–chemical and biological properties of polymers would facilitate the advancement of these amazing materials.

Thus, this Special Issue welcomes the submission of original research and review articles whose scope includes, but is not limited to, the following topics:

  • Synthesis of polymeric materials;
  • Theory and simulation of polymeric materials;
  • Analysis and/or characterization of polymeric materials;
  • Physics of polymeric materials;
  • Theory and simulation of polymeric materials;
  • Processing and performance of polymeric materials;
  • Functional polymeric materials;
  • Degradation of polymeric materials;
  • Dendrimers.

Dr. Reynier Suardíaz
Prof. Dr. Hernández-Rodríguez Erix Wiliam
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

  • theory and simulation
  • polymer-based materials
  • synthesis and characterization
  • polymer degradation
  • multi-scale simulations
  • biomedical applications
  • dendrimers

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Published Papers (1 paper)

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Review

26 pages, 1859 KiB  
Review
Support Vector Machines in Polymer Science: A Review
by Ivan Malashin, Vadim Tynchenko, Andrei Gantimurov, Vladimir Nelyub and Aleksei Borodulin
Polymers 2025, 17(4), 491; https://doi.org/10.3390/polym17040491 - 13 Feb 2025
Viewed by 540
Abstract
Polymer science, a discipline focusing on the synthesis, characterization, and application of macromolecules, has increasingly benefited from the adoption of machine learning (ML) techniques. Among these, Support Vector Machines (SVMs) stand out for their ability to handle nonlinear relationships and high-dimensional datasets, which [...] Read more.
Polymer science, a discipline focusing on the synthesis, characterization, and application of macromolecules, has increasingly benefited from the adoption of machine learning (ML) techniques. Among these, Support Vector Machines (SVMs) stand out for their ability to handle nonlinear relationships and high-dimensional datasets, which are common in polymer research. This review explores the diverse applications of SVM in polymer science. Key examples include the prediction of mechanical and thermal properties, optimization of polymerization processes, and modeling of degradation mechanisms. The advantages of SVM are contrasted with its challenges, including computational cost, data dependency, and the need for hyperparameter tuning. Future opportunities, such as the development of polymer-specific kernels and integration with real-time manufacturing systems, are also discussed. Full article
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