“Lithionics” – On the Design of Lithium Oxides for Novel Neuromorphic Computing Functions
Jennifer Rupp a
a Technical University of Munich, Department of Chemistry, Germany
Proceedings of Materials, devices and systems for neuromorphic computing 2022 (MatNeC22)
Groningen, Netherlands, 2022 March 28th - 29th
Organizers: Jasper van der Velde, Elisabetta Chicca, Yoeri van de Burgt and Beatriz Noheda
Invited Speaker, Jennifer Rupp, presentation 007
DOI: https://doi.org/10.29363/nanoge.matnec.2022.007
Publication date: 23rd February 2022

Next generation of energy storage may largely benefit from fast Li+ ceramic electrolyte conductors to allow for safe and efficient batteries. With recent discoveries in thin film processing solid-state lithium ion conductors, such as Li-garnets and LIPON or LiSICON-based solids, have been recently considered as candidate materials not only for next-generation solid-state batteries but also for neuromorphic computing via memristors owing to the fast ionic transport in the solid-state electrolyte.

In the first part of this talk, we review current needs and challenges in the field of solid state batteries. We underline the advantages of various Li solid-state conductor materials and reflect on opportunities of thin film processing, being a requirement to define precisely the Lithium stoichiometries and related electronic state changes for transition metal ions, miniaturize the device, and reach high energy/information densities for energy storage, computation, and sensing.

In the second part, we focus on Li-film processing and controlling Lithium stoichiometries to reach fast conductive phases for Li garnets and Li titanates as solid state battery components, and memristive neuromorphic computing units. Insights on structure-phase-transport interaction and implications on performances will be exemplified for energy storage aiming high energy densities, and modulations of synaptic artificial weights through lithium induced metal-to-insulator transitions in lithium titanate memristors.

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