What can batteries teach us about memory devices? - Livestream

As Moore’s Law is reaching its physical limits, novel types of computing systems are necessary to meet rapidly increasing computing demands. One such approach is compute-in-memory, which utilizes memory-logic hybrid devices called resistive memory that promises orders of magnitude improvements in energy efficiency. These resistive memory devices are made of transition metal oxides and have very different device physics compared to field-effect transistors made using covalent semiconductors. In this seminar, I will present the overlapping principles between Li-ion batteries and resistive memory. We discuss how both electrochemical redox and phase transformations, two core principles of batteries, can be used to better understand and engineer resistive memory devices.

Speaker: Yiyang Lee, University of Michigan

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