Photo of Chunyang Wang

Nanotechnology & materials

Chunyang Wang

Super-resolution TEM imaging technique by combining deep learning with atomic-resolution scanning transmission electron microscopy.

Year Honored
2023

Organization
Institute of Metal Research, Chinese Academy of Sciences

Region
China

Hails From
China
Layered oxides are one of the most widely used commercial cathode materials in lithium-ion batteries. Understanding their failure mechanisms is critical to developing high-performance cathode materials, which will contribute to addressing the global energy crisis​.

To address this significant challenge in the global battery field, Chunyang Wang and collaborators developed super-resolution TEM imaging techniques by combining deep learning with atomic-resolution scanning transmission electron microscopy. With this technological breakthrough, they deciphered complex interface structures, new phase degradation pathways, and mechanical failure mechanisms of layered oxide cathode materials for lithium-ion batteries. Their achievement uncovers crucial factors affecting the structural degradation of layered oxide cathodes, offering significant theoretical and practical value for the design and development of next-generation lithium-ion battery cathode materials​. Over the past two years, Chunyang’s research interest in batteries has gradually expanded from cathodes to other battery materials, such as lithium metal anodes and aqueous/solid-state electrolytes. Using in-situ TEM and cryo-TEM techniques, he deciphered the nucleation, growth, and stripping mechanisms of lithium metal at the nanoscale and atomic scale. By combining cryo-TEM tomography with traditional electron diffraction techniques, he pioneered three-dimensional crystallographic imaging of lithium metal. This significant technological breakthrough is expected to be more widely applied in the research of metal or alloy anode materials for lithium/sodium-based batteries in the future​.

The integration of artificial intelligence with advanced transmission electron microscopy characterization techniques is poised to be a disruptive technology and pivotal direction for the future of electron microscopy. Chunyang aims to extensively apply artificial intelligence in developing multidimensional (in-situ/three-dimensional) TEM techniques to address key issues/challenges in materials.