Topic: Design of Polymer and Its Composites Driven by Data and Domain Knowledge

The Journal of Materials Informatics is delighted to announce a forthcoming Special Issue dedicated to the cutting-edge domain of "Design of Polymer and its Composites driven by data and domain knowledge". This issue is particularly timely, reflecting the pivotal role that data-centric approaches, including artificial intelligence, machine learning, data science, and big data analytics, are playing in the revolution of polymer science and engineering.

This thematic issue seeks to showcase the forefront of research in the field of polymers and their composites, explored through the lens of data-driven and domain knowledge-driven methodologies. The issue will encompass a broad spectrum of topics, including but not limited to:
1. Advanced Algorithms and Computational Models: Development of innovative data-driven algorithms and computational models specifically tailored for the study and design of polymers and their composites.
2. Data-driven Design and Structural Architecture: Exploration of how data analytics can influence the design and structural architecture of polymers for enhanced performance.
3. Physicochemical Properties Analysis: In-depth data-driven and knowledge-driven analyses of the diverse physicochemical properties of polymers and composites, contributing to a deeper understanding and novel applications.
4. Molecular-level Understanding: Integrating domain knowledge into data-centric approaches to decipher the growth, formation mechanisms, and dynamic evolution of polymers at the molecular scale.
5. Functional Applications: Investigation of polymer-based functional devices, their development, and applications in various sectors, guided by data and domain knowledge insights.
6. Sustainable Development Applications: Studies focusing on the role of polymers in energy, environmental solutions, and sustainable development, underpinned by data-driven methodologies.
7. Experimental Techniques and Functionalization: Reports on the experimental preparation, characterization, and functionalization of polymers and composites, enhanced through data-driven approaches.