Research
We develop AI-powered electron microscopy to decode atomic structures of amorphous materials. By integrating machine learning with advanced imaging, we reveal hidden patterns in non-crystalline systems, advancing applications in renewable engineering system.
1. Metallic Glass
We aim to establish a predictive model to explain the atomic configuration and its connection to physical phenomena in metallic glass.
2. Fission and Fusion Nuclear Reactor
We investigate the structural degradation of reactor materials under extreme conditions such as intense radiation, corrosive coolant interactions, and multiaxial mechanical loads.
3. Next-generation Lithium-ion Battery
We employ cryo-4DTEM to resolve complex interfacial structures within batteries
4. AI for Electron Microscope
We are developing AI-powered electron microscopy solutions for the industrial-scale analysis of complex materials.