Nonvolatile Electrochemical Memory at 600C Enabled by Composition Phase Separation
Jingxian Li, Andrew J. Jalbert, Leah S. Simakas, Noah J. Geisler,, Virgil J. Watkins, Laszlo A. Cline, Elliot J. Fuller, A. Alec Talin, Yiyang, Li

TL;DR
This paper introduces a novel nonvolatile electrochemical memory capable of operating and retaining information at temperatures up to 600°C, leveraging phase separation in amorphous tantalum oxide.
Contribution
It demonstrates a high-temperature nonvolatile memory device based on composition phase separation, enabling operation beyond traditional CMOS temperature limits.
Findings
Memory retains data at 600°C
Phase separation between oxidized and reduced tantalum oxide is key
Correlative electron microscopy confirms the mechanism
Abstract
CMOS-based microelectronics are limited to ~150{\deg}C and therefore not suitable for the extreme high temperatures in aerospace, energy, and space applications. While wide bandgap semiconductors can provide high-temperature logic, nonvolatile memory devices at high temperatures have been challenging. In this work, we develop a nonvolatile electrochemical memory cell that stores and retains analog and digital information at temperatures as high as 600 {\deg}C. Through correlative electron microscopy, we show that this high-temperature information retention is a result of composition phase separation between the oxidized and reduced forms of amorphous tantalum oxide. This result demonstrates a memory concept that is resilient at extreme temperatures and reveals phase separation as the principal mechanism that enables nonvolatile information storage in these electrochemical memory cells.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectrocatalysts for Energy Conversion · Advanced Memory and Neural Computing · Semiconductor materials and devices
