Organizers:
- Anna Tarakanova, University of Connecticut
- Wenjie Xia, Iowa State University
- Zhaoxu Meng, Clemson University
- Zhen Li, Clemson University
- Luis Ruiz Pestana, University of Miami
- Robert Sinko, Northern Illinois University
- Jingjie Yeo, Cornell university
Description:
Understanding and predicting the advanced functionality of soft matter and hierarchical materials holds the key to solving some of today’s most pressing societal challenges, from sustainable energy storage to understanding biology and disease. Explaining the emergent behavior of hierarchical materials, which arises from the complex interplay between structural morphology, architecture, interfaces, and chemical composition across time and length scales, calls for a multiscale and multiphysics approach. To that end, a diverse set of computational modeling and theoretical tools have been developed at the interface of physics, chemistry, mechanics, and material science. In recent years, artificial intelligence-based data-driven approaches have been added to an arsenal of tools to tackle complex challenges related to the mechanics of such materials. This symposium calls for interdisciplinary research on soft matter and hierarchical materials ranging from engineered to natural and living systems that display nano, micro, and macro-scale features. We are interested in a variety of material systems, including but not limited to structural/infrastructural (e.g., cementitious, bituminous, clay), polymeric (e.g., nanocomposites, thin films, supramolecular networks), and biological and bioinspired (e.g., bone, wood, soft tissue) materials. We are also interested in a wide range of approaches, including theoretical and computational modeling, data-driven solutions, as well as innovative tools for characterizing and designing multifunctional hierarchical materials. This symposium will bring together international researchers from a broad range of disciplines, including material science, mathematics, physics, chemistry, engineering, and computing, to share insights and discuss the state-of-the-art methods and applications in the emerging field of multiscale materials modeling.
Topics of interest:
- Multiscale modeling
- Machine learning
- Mechanics
- Soft materials
- Biomaterials
- Polymeric materials
- Structural materials