Materials Design and Development for Next-Generation Energy Storage Technologies
报 告 人：Hailong Chen博士（佐治亚理工学院）
主 持 人：王丹 研究员
Dr. Hailong Chen is an Assistant Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His research focuses on design and synthesis of novel materials for energy conversion and storage, as well as development of advanced in situ characterization methods for materials research, such as synchrotron based in situ X-ray techniques, in situ solid state nuclear magnetic resonance spectroscopy, and in situ electron microscopy. Dr. Chen received his BS degree in materials science and engineering and MS in chemistry from Tsinghua University. He received his PhD in chemistry at the State University of New York - Stony Brook. Prior joining GT, he worked as a postdoctoral associate in the Department of Materials Science and Engineering at MIT. He has published 30 research papers in peer-reviewed journals, including Nature Materials, Advanced Materials, Journal of the American Chemical Society, Advanced Energy Materials, and Nano Letters, etc. He is the Principle Investigator of multiple US National Science Foundation grants. The on-going research projects include lithium ion batteries, sodium ion batteries, solid state electrolytes and nanometric alloys.
Traditionally, materials design relies on the knowledge, experience and intuition of materials scientists. The development of new materials has always been conducted with the time consuming trial-and-error experimental approaches. Today, the significant improvement in computational materials science is providing us with new opportunities of using computations to shorten the materials design loops. Materials Genome is one of the representative approaches utilizing first-principles based computations to design and predict new functional materials. In this seminar, the Materials Genome method will be presented with successful examples of the discovery of novel Li-ion battery materials. Advanced in situ materials characterization methods that greatly expand the capability of the Materials Genome approach will also be discussed. In addition, multiple new energy storage technologies for low cost and large scale energy storage will also be introduced.