Application of Digital Methods in Polymer Science and Engineering
Source abstract
Abstract
Abstract The development of new polymer materials is an emerging field for more than 100 years. However, it is currently facing major challenges and the application of digital methods can help to develop new processes, discover new materials and, thus, contribute to the challenges of today and the future. Though, the application of digital methods in the field of polymer science is currently very limited, when compared to other classes of materials such as small molecules or inorganic high‐performance materials. Nevertheless, there are already first, very promising approaches. The current review article focuses on the application of these methods in different aspects of polymer research including polymer design, synthesis, and characterization. Furthermore, the digital discovery of polymer engineering is highlighted in detail showing the broad range of potential applications of these methods in polymer science. Finally, future possibilities and opportunities are derived from the current state‐of‐the‐art and perspectives for a potential evolution of polymer science are provided.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Machine Learning in Materials Science · Innovative Microfluidic and Catalytic Techniques Innovation · Advanced Polymer Synthesis and Characterization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory of Organic and Macromolecular Chemistry (IOMC) Friedrich Schiller University Jena Humboldtstr. 10 07743 Jena Germany
Jena Center for Soft Matter (JCSM) Friedrich Schiller University Jena Philosophenweg 7 07743 Jena Germany
Department of Polymer Engineering University of Bayreuth Universitätsstr. 30 95447 Bayreuth Germany
Funding
Deutsche Forschungsgemeinschaft · Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst
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