Late Breaking Abstract Submission Closed
January 11, 2018 (11:59 pm ET)
Symposium EN01—Solid-Solid Interfaces in Batteries, Energy Storage and Conversion—Diagnostic and Modeling
The proposed symposium focuses on solid-solid interfaces in energy storage and conversion devices.
Enabling of all-solid-state batteries addresses fundamental safety issues found in organic electrolyte systems. Buried electrode/electrolyte interfaces and grain boundaries within electrode or electrolyte materials strongly affect properties like impedance, electronic/ionic transport, stability, and dendrite formation in solid-state batteries.
Even liquid electrolyte-based batteries feature anodes and cathodes inevitably coated with naturally occurring "solid electrolyte interface" (SEI) films, the innermost inorganic layers of which are arguably most important for electrode passivation. Artificial protective coatings, via atomic layer deposition and other means, have also been applied. The thinness and fragility of these solid interfacial layers make them challenging for high-resolution diagnostics, but tremendous progress has been made. Elucidation of their functions and evolution will benefit from studies synergistic with solid state batteries and solid state capacitors. Solid interfaces are also critical to solid-oxide fuel cells and related research areas. The novel methods used in the study of these diverse areas promise exciting crossover opportunities.
Many challenges remain in studying buried interfaces, notably in high-resolution imaging at nanometer length scale or below; identification of defects and "hot spots" that can cause degradation; and elucidating the science behind processing conditions. Moreover, in-operando studies of solid-solid interfaces are largely unexplored. Such atomic lengthscale data are the starting points of theoretical efforts. Modeling can yield fresh insights and provide design rules for solid-solid interfaces. Such advances, in turn, open up new avenues of research. Revolutionary advances in measurement and modeling methods will be crucial for both fundamental science understanding and device optimization.