Methods Collections

Multi-modal analytics in energy storage

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Methods Collections
Multi-modal analytics in energy storage

Guest Editors
George J. Nelson

Department of Mechanical and Aerospace Engineering

George J. Nelson is an Associate Professor of Mechanical and Aerospace Engineering at the University of Alabama in...

Leela M. R. Arava

Department of Mechanical Engineering

Leela M. R. Arava is an Associate Professor of Mechanical Engineering at Wayne State University. He received his...

Partha P. Mukherjee

School of Mechanical Engineering

Partha P. Mukherjee is currently an Associate Professor of Mechanical Engineering at Purdue University. He received his...

Collection Overview

Energy storage is a critical enabler for vehicle electrification and renewable energy integration into the electric grid. Primary challenges in lithium based intercalation (Li-ion) and conversion (e.g., Li-S) chemistries continue to remain in energy and power density trade-off, life and safety. These energy storage systems consist of coupled physical processes at disparate spatio-temporal scales in porous electrodes, including species and charge transport in the solid and electrolyte phases, electrochemical reaction at active interfaces, heat generation and thermal transport, chemical reactions, and transport-mechanics manifestation. In recent years, there has been significant emphasis and progress in experimentally examining such coupled processes at different scales. This JoVE Methods Collection seeks contributions in multi-modal analytics, including but not limited to, electrochemical, spectroscopic, microscopic and tomographic analysis and diagnostics to examine coupled physicochemical processes in energy storage (e.g. Li-ion, and beyond Li-ion chemistries including Li-S, Li-air, Mg-ion, Na-ion, K-ion) systems.