Latent Space in Polymer Materials
This special issue belongs to the section "Polymer Analysis and Characterization".
Special Issue Information
Dear Colleagues,
Polymeric materials play a key role in supporting the ever-increasing demand for electronics, medicines, plastics, sensors, and the transition to renewable energy sources. This is achieved through polymers’ distinct features at different structural and temporal scales (i.e., a subtle change in their atomic or mesoscopic structures leads to a totally emergent functionality). However, the design of new polymeric materials is still a lengthy process. This grand challenge is related to the lack of capability to comprehensively bridge phenomena that occur at temporal scales from tens of nanoseconds to seconds or spatial scales from nanometers to meters. Indeed, scientific datasets in this field are sparse and include only directly observable quantities, while the underlying processes are either too complex to observe directly or are completely unknown. To move towards an accelerated on-demand design for polymeric materials, novel approaches are needed to explore the latent space in scientific datasets and bridge the interactions of physics at different spatial and temporal scales. In pursuit of this objective, we designed this Special Issue to bring together researchers working on advanced computational and experimental methods and data science to exchange ideas, identify and address grand challenges, and possibly reveal latent multi-scale multi-temporal structures and mechanisms in polymer behaviors (rheology, self-assembly, phase transition, etc.) that can better serve the community to design polymeric materials in shorter time-frames—that is, accelerated on-demand material design.
Dr. Salah A. Faroughi
Dr. Célio Bruno Pinto Fernandes
Guest Editors
Manuscript Submission Information
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Keywords
- polymers
- rheology
- self-assembly
- phase transition
- latent space
- multi-scale modeling
- multi-temporal experiments
- data science
- sparse data
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