Computational Approaches for Biological and Bio-inspired Materials Design

Do-Nyun Kim, Seoul National University

The main goal of this mini-symposium is to discuss state-of-the-art in the emerging field of computational design approaches for biological and bio-inspired materials. Unique contributions on the multi-scale and multi-physical modeling methods, the physics-informed and data-driven approaches to identifying the constitutive relationship, and the design optimization accelerated by using model reduction, surrogate models, and machine learning are encouraged. All types of materials (hard and soft) across the scales (from molecular to macro) are welcomed.

Tentative target materials include (but are not limited to)
- biological and bio-inspired polymers and network materials
- structured nucleic acid materials such as DNA/RNA origamis
- supramolecular protein assemblies
- self-healing biomaterials
- stimuli-responsive biomaterials
- mechanical meta-materials for emerging applications in biological engineering and science
- biomaterials by additive manufacturing technologies