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COMPUTATION ACCELERATED DESIGN OF MATERIALS AND INTERFACES FOR SOLID-STATE BATTERIES



主   办:材料科学与工程系
报告人:Prof. Yifei Mo Department of Materials Science and Engineering, University of Maryland, USA.
时   间:5月24日 下午3:00~5:30
地   点:澳门太阳娱乐网站官网1号楼210
主持人:孙强 教授


报告摘要


All-solid-state Li-ion battery based on solid electrolytes is a promising next-generation battery technology with high energy density, intrinsic safety, long-life cyclability, and high-rate charging/discharging. However, multiple challenges, such as low ionic conductivity of solid electrolytes and poor interfacial compatibility at the solid electrolyte-electrode interfaces, are impeding the development of this novel technology. To resolve these materials challenges, we will design new materials and interfaces through an accelerated approach guided by computation, in contrast to a conventional trial-and-error approach. We will leverage an array of computation techniques to provide unique materials insights into the fundamental materials limitations and to establish general design principles of materials for overcoming such challenges. In the first part of the presentation, we will use first-principles atomistic modeling to reveal the origin of ultra-fast diffusion in lithium super-ionic conductors, which uniquely exhibit several orders of magnitude higher ionic conductivity than most solids. Materials design principles for fast ion conductors will be established based on the newly gained understanding, and such design principles will be demonstrated in our computation-guided discovery and design of new super-ionic conductors. In addition, we will present our first-principles database approach in investigating the compatibility of heterogeneous interfaces between electrolyte and electrodes, which are difficult to access in experiments. Key limiting factors at the solid electrolyte-electrode interfaces will be identified, and corresponding interfacial design using new materials will be proposed from computation guidance to address these interfacial limitations. The demonstrated computation capabilities represent a transferable model in designing new materials and interfaces for emerging technologies.
 
报告人简介:


Prof. Yifei Mo is a Professor of Materials Science and Engineering at the University of Maryland, College Park, USA. Dr. Mo’s research aims to advance the understanding, design, and discovery of engineering materials through cutting-edge computational techniques. His current research projects target critical materials problems in energy storage and conversion technologies, with current emphases on beyond Li-ion and all-solid-state batteries. Dr. Mo obtained his Ph.D. degree in Materials Science from the University of Wisconsin, Madison, USA (2005-2010), and performed his postdoctoral research at Massachusetts Institute of Technology (2010-2013). His research has been published in leading peer-reviewed journals including Nature, Nature Materials, Nature Communications, Advanced Energy Materials, Nano Letter, Chemistry of Materials, and Physical Review B, etc.

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