Dr. Howard Wang 教授访问E01小组In Situ Neutron Diagnosis of Lithium-Containing Batteries

Time : 
Mon, 02/27/2017 - 10:30
Location : 
M楼253会议室

 

Department of Materials Science and Engineering, University of Maryland, College Park & Material Measurement Laboratory, NIST

内容简介:

Rechargeable Li-containing batteries are a promising technology for efficient energy storage.  However, significant challenges need to be addressed before they could be deployed to large-scale system applications in plug-in electric vehicles, renewable energy management, and the power grid. We have carried out critical in situ neutron measurements on Li distribution and transport during the battery operation, and gain new insights in the function and failure of battery systems.  Four neutron measurement techniques, neutron depth profiling (NDP), neutron reflectivity (NR), small angle neutron scattering (SANS), and neutron imaging (NI) have been used to quantify real-time information of the Li transport in electrode, sub-nanometer interfacial structures, and fracturing of electrode particles.  Using examples, we demonstrate that in situ neutron diagnoses offer new opportunities in better understanding the performance and lifetime of secondary batteries.

报告人简介:

Dr. Wang obtained his Bachelor of Science in Physics from the Peking University in 1992 and Ph.D. in Materials Science and Engineering from the University of Pennsylvania in 1999. After postdoc research at NIST, He was an Assistant Professor at Michigan Technological Univ. an Associate Professor at SUNY Binghamton, and a Research Professor of Materials Science and Engineering at University of Maryland at College Park. He has had extensive research experience in neutron techniques applied to studying soft matter, nanotechnology, electronics and batteries, and authored or co-authored over 100 technical publications and 8 patents.  Wang is member of Bohmische Physical Society, a recipient of the NSF Career Award, and a NIST-ARRA Senior Research Fellow.

 

Vistors

Languages

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer