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MEAM Seminar: “Design Optimization of Porous Electrodes for Ultra-fast Charging”
March 3 at 10:15 AM - 11:15 AM
High performance electrochemical energy storage devices are critical technologies to ensure energy security and sustainability. In this presentation, I will introduce a gradient-based optimization framework to design porous electrodes for maximum energy storage under ultra-fast charging conditions, along with experimental validation of the optimized design. Porous electrode materials are characterized by highly tortuous pore networks that provide substantial surface area per unit volume to support significant energy storage. However, increased tortuosity hinders ion transport, leading to poor material utilization in traditional planar architectures. The physics-driven optimization algorithm addresses this challenge by generating design features compatible with the transport length scale under prescribed operating conditions while satisfying manufacturing constraints. The optimized structures significantly improve material utilization and thus achieve orders of magnitude increase in energy storage while maintaining exceptional storage retention at ultra-high charging rates.
Hanyu Li
Postdoctoral Researcher, Computational Engineering Division, Lawrence Livermore National Laboratory
Hanyu Li is a postdoctoral researcher in the Computational Engineering Division at Lawrence Livermore National Laboratory. His research lies at the intersection of computational mechanics, multiphysics modeling, and optimization, with a focus on designing next-generation energy systems. His current work includes topology and shape optimization of electrochemical energy storage devices and fusion tritium breeding technologies, as well as predictive modeling of lithium deposition in all-solid-state batteries through tightly coupled electrochemistry-plasticity simulations. Prior to joining LLNL, he developed high performance adaptive finite element methods guided by a posteriori error estimates for subsurface transport and mechanics models at Oden Institute for Computational Engineering and Sciences. Hanyu received his BS and MS in Petroleum Engineering from Texas A&M University, and his PhD in Petroleum and Geosystem Engineering from the University of Texas at Austin.