Materials or structures that address not only the load-carrying function, but also thermal, and electromagnetic functions. Our lab seeks to develop multifunctional composites to achieve a lightweight and versatile structure for E-mobility system.

Simulation techniques for analyzing coupled physical phenomenon among mechanical, thermal, and electromagnetic disciplines on materials and structures across various length scales. Our lab is developing multi-physics and multi-scale simulation techniques that can facilitate the performance enhancement of E-mobility system.

A mathematical design approach that aims to determine optimal material layout for a given goal. It is initiated to solve design problem for structural stiffness, and extended to various physical disciplines such as thermal, fluid, and electromagnetic fields. Our lab is working on the development of next-generation topology optimization algorithms.

Manufacturing technique to construct a 3D object from a CAD model. It enables to fabricate complex shapes and geometries that might be impossible in conventional manufacturing techniques. Additive manufacturing enables us to produce structures and devices that are designed for E-mobility system.

The accuracy and efficiency of design optimization can be enhanced through machine learning algorithms. Our lab seeks to apply cutting-edge machine learning algorithms for advancing the design optimization of E-mobility system.