Energy Storage and Distributed Resources Division
Lawrence Berkeley National Laboratory
Combinatorial material research offers fast and efficient solutions to identify promising and advanced materials. It has revolutionized the pharmaceutical industry and now is being applied to accelerate the discovery of other new compounds, e.g. superconductors, luminescent materials, catalysts etc. Differing from the traditional trial-and-error process, this approach allows for the synthesis of a large number of compositionally diverse compounds by varying the combinations of the components and adjusting the ratios. It largely reduces the cost of single-sample synthesis/characterization, along with the turnaround time in the material discovery process, therefore, could dramatically change the existing paradigm for discovering and commercializing new materials. This talk outlines the application of combinatorial materials approach in the battery field. It covers a general introduction to combinatorial materials approach, state of art for its application in battery research. A case study will be presented to demonstrate how this concept can be effectively executed in the battery materials discovery.
Dr. Wei Tong is a Scientist/Principal Investigator in Energy Storage and Distributed Resources Division at Lawrence Berkeley National Laboratory. She obtained her Ph.D. degree in Materials Science and Engineering at Rutgers, The State University of New Jersey. Afterwards she joined Wildcat Discovery Technologies, Inc. as a Scientist. Dr. Tong has over 10 years’ experience in battery materials research and development, including over 3 years of experience in combinatorial library design and high throughput electrochemical screening. She specializes in chemical synthesis of solid state materials. Her extensive experience and practical knowledge in discovery and development of a variety of battery materials using combinatorial materials approach have led to over 10 inventions in the battery field.
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