To reveal scientific insights and design principles that enable a next-generation electrical energy storage technology based on dense mesoscale architectures of multifunctional nanostructures.
As demand for electrical energy storage (EES) reaches a critical point with increasing applications in transportation, grid storage and usage of renewable sources, energy research community seeks to develop new science and technology innovation to deliver high energy at high power levels over a sustainable time period.
Our Science Focus
Building on precision multicomponent nanostructures in densely packed architectures, NEES investigates mesoscale ion & electron transport behavior, science of dynamic nanostructure degradation addressing both short & long term time scales, and the science to enable solid state nanostructured batteries.
The Energy Frontier Research Center for Nanostructures for Electrical Energy Storage (NEES) will develop the science for and optimize the design of multifunctional nanostructures in 3-D mesoscale architectures that are applicable in EES.
From model nanostructure architectures and their consequences in high power and energy storage, NEES seeks scientific insights into nanostructure electrochemistry to facilitate solutions for batteries that are safe and high in power and energy.
Transport in Electrochemical Interphases
- to measure, understand, and control ion and electron transport through interphases, especially using precision model nanostructures,
- to account for new effects in confined, mesostructured solids and liquids,
- to compare model systems against theoretical modeling.
- to arrange precision nanostructures into hierarchical mesoscale architectures in both regular & random 3-D configurations,
- to model and categorize metrics for electrochemical reation of defined geometry of nanostructures,
- to understand how ion transport & dynamics is influenced by architectures at the mesoscale.
Nanostructure Degradation Science
- to identify intrinsic nanostructure degradation mechanisms during cycling,
- to sense degradation in ultralong horizontal nanowire arrays,
- to characterize the dynamics of degradation, addressing both early & extended-term time scales,
- To create predictive degradation models validated at the nanoscale.
Solid State Energy Storage
- to optimize solid electrolyte performance through atomic layer deposition (ALD) method,
- to construct 3-D nanobattery architecture & multiscale modeling through ordered/interdigitated or random scaffolds.
- to address consequences from ionics, electrodics and degradation phenomena in a 3-D solid state model system.