Analog programming of CMOS-compatible Al$_2$O$_3$/TiO$_\textrm{2-x}$ memristor at 4.2 K after metal-insulator transition suppression by cryogenic reforming
Pierre-Antoine Mouny, Rapha\"el Dawant, Bastien Galaup, Serge Ecoffey,, Michel Pioro-Ladri\`ere, Yann Beilliard, Dominique Drouin

TL;DR
This study demonstrates a cryogenic reforming technique at 4.2 K that suppresses the metal-insulator transition in TiO₂₋ₓ memristors, enabling stable analog programming and improved performance for cryogenic neuromorphic computing.
Contribution
We introduce a cryogenic reforming process that enhances analog behavior and reduces switching voltages in CMOS-compatible TiO₂₋ₓ memristors at 4.2 K, overcoming low-temperature limitations.
Findings
Cryogenic reforming suppresses the metal-insulator transition.
Memristors exhibit 50 times higher conductance after reforming.
On/off ratios increase by approximately 250% during resistance tuning.
Abstract
The exploration of memristors' behavior at cryogenic temperatures has become crucial due to the growing interest in quantum computing and cryogenic electronics. In this context, our study focuses on the characterization at cryogenic temperatures (4.2 K) of TiO-based memristors fabricated with a CMOS-compatible etch-back process. We demonstrate a so-called cryogenic reforming (CR) technique performed at 4.2 K to overcome the well-known metal-insulator transition (MIT) which limits the analog behavior of memristors at low temperatures. This cryogenic reforming process was found to be reproducible and led to a durable suppression of the MIT. This process allowed to reduce by approximately 20% the voltages required to perform DC resistive switching at 4.2 K. Additionally, conduction mechanism studies of memristors before and after cryogenic reforming from 4.2 K to 300 K…
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
TopicsAdvanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Semiconductor materials and devices
