The Laboratory for Artificial Intelligence and Multiscale Modeling (LAiMM) at National Cheng Kung University focuses on several cutting-edge research topics that combine AI with multiscale modeling to tackle complex engineering and scientific problems. Key research areas include:

Soft Matter Biophysics: This involves understanding and predicting the behavior of soft and hierarchical materials, which are crucial for applications in energy storage and biomedical fields. The research integrates multiscale computational models with AI to enhance the understanding of material properties and design advanced materials.

Mathematical Theory and Computational Methods: Development of theories and computational strategies for coarse-graining and model reduction, coupling heterogeneous physical models across scales, and creating data-driven multiscale models. This includes using machine learning to improve the accuracy and efficiency of multiscale simulations.

Biomedical Engineering Applications: AI-driven multiscale modeling is applied to biomedical fields, such as simulating the mechanical properties of biological tissues and understanding disease mechanics. This includes collaborations for interdisciplinary research on bioinspired and living systems.

Advanced Materials Design: Integration of AI in materials modeling to discover and design new materials with desirable properties. This involves using machine learning to predict material behavior and optimize material properties for various engineering applications.

Multiphysics Coupled Deformations: Study of multifunctional materials and stimuli-responsive materials through coupled multiphysics models, which combine mechanical, thermal, and other physical phenomena across different scales.

These research topics aim to bridge the gap between theoretical models, computational simulations, and practical applications, fostering collaborations across disciplines to address significant societal challenges.