Special Issue "Polymers and Digitalization"

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

Deadline for manuscript submissions: 31 October 2021.

Special Issue Editors

Dr. Stefan Zechel
E-Mail Website
Guest Editor
Laboratory of Organic and Macromolecular Chemistry (IOMC, Lehrstuhl II/Schubert), Friedrich Schiller University Jena, Humboldtstr. 10 (visiting address, office 317), 07743 Jena, Germany
Interests: self-healing polymers; stimuli-responsive polymers; metallopolymers; shape-memory polymers; polymer coating; mechanochemistry; digitalization; automation; artificial intelligence; machine learning
Prof. Dr. Ulrich S. Schubert
grade E-Mail Website
Guest Editor
Laboratory of Organic and Macromolecular Chemistry (IOMC) Jena Center for Soft Matter (JCSM), Friedrich-Schiller-Universität Jena, Humboldtstr. 10, D-07743 Jena, Germany
Interests: self-healing polymers; stimuli-responsive polymers; metallopolymers; shape-memory polymers; tailormade macromolecules; living polymerizations; supramolecular polymers; inkjet printing; mass spectrometry, digitalization; automation; artificial intelligence; machine learning
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Ongoing digitalization has significantly affected research into polymer science during the last few years and is gaining increasingly more attention. Thus, automated synthesis, characterization and purification protocols have been developed, enabling a fast screening of polymeric materials. Furthermore, synthetic robots have allowed the parallel synthesis of polymer libraries, resulting in a fast screening of different compositions and properties. Recently, artificial intelligence and machine-learning methods have been developed in order to predict properties of polymers. Thus, ongoing digitalization is changing the way we perform research into polymer science.

Consequently, the current Special Issue is focusing on all aspects of digitalization in polymer science, ranging from new aspects in the field of the automation of synthesis, characterization or purification over the utilization of robots for the preparation of new materials and polymer libraries to, finally, the application of artificial intelligence and machine-learning (AI/ML) routines for the predication of polymer-relevant aspects. Finally, the generation of data-using theoretical approaches for the application in such AI/ML programs will also be a part of the Special Issue.

Dr. Stefan Zechel
Prof. Dr. Ulrich Schubert
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 papers will be 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 2200 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.


  • digitalization
  • automation
  • robot-based chemistry
  • artificial intelligence
  • machine learning

Published Papers

This special issue is now open for submission.
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