Modeling and Simulation in Polymer Reaction Engineering
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".
Deadline for manuscript submissions: 20 October 2024 | Viewed by 1503
Special Issue Editor
Interests: mathematical modeling; polymer reaction engineering; monte carlo methods; machine learning techniques; product design approach; design of experiments
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Polymers have been around for several decades and have greatly contributed to the improvement of our everyday lives in countless ways. However, they have never before been under as much scrutiny on the global stage as currently, for both good and bad reasons. Polymer science is faced with a tremendous challenge where it needs to respond to an increasing demand for tailored-property products while, at the same time, reducing their need for resources (both material and energy-wise), expanding their useful life and/or improving their circularity.
Mathematical modeling is one of the main tools that has been traditionally employed in polymer reaction engineering (PRE) in an attempt to better understand, describe, predict and ultimately optimize polymerization systems. To this end, several mathematical tools and approaches have been proposed, varying from traditional lumped or distributed deterministic models to detailed topological stochastic algorithms and, more recently (i.e., at least in its current widespread and more powerful form), to powerful data-driven machine learning methods.
This Special Issue welcomes original contributions in the broader area of PRE, including (but not limited to) the following methods and applications:
- Modeling and simulation of commodity polymer production processes, in view of optimizing polymer quality or productivity indicators;
- Modeling of processes involving the synthesis or the modification of bio-sourced polymers;
- Modeling of polymer recycling techniques, including solvent-based, mechanical and chemical;
- Modeling of enzymatic or bioorganism-assisted degradation of polymeric materials;
- Exact microstructural modeling of non-linear, multi-monomer or multi-functionnal polymers;
- Modeling of highly dimensional, complex polymerization systems.
Dr. Dimitrios Meimaroglou
Guest Editor
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. Processes is an international peer-reviewed open access monthly 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 2400 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
- polymer reaction engineering
- methods of moments
- discretization methods
- stochastic Monte Carlo simulations
- artificial neural networks
- support vector machines
- polymer recycling processes
