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Spatially Distributed Ramp Reversal Memory in VO<sub>2</sub>

Sayan Basak, Yuxin Sun, Melissa Alzate Banguero, Pavel Salev, Iván K. Schuller, Lionel Aigouy, E. W. Carlson, A. Zimmers

2023Advanced Electronic Materials15 citationsDOIOpen Access PDF

Abstract

Abstract Ramp‐reversal memory has recently been discovered in several insulator‐to‐metal transition materials where a non‐volatile resistance change can be set by repeatedly driving the material partway through the transition. This study uses optical microscopy to track the location and internal structure of accumulated memory as a thin film of VO 2 is temperature cycled through multiple training subloops. These measurements reveal that the gain of insulator phase fraction between consecutive subloops occurs primarily through front propagation at the insulator‐metal boundaries. By analyzing transition temperature maps, it is found, surprisingly, that the memory is also stored deep inside both insulating and metallic clusters throughout the entire sample, making the metal‐insulator coexistence landscape more rugged. This non‐volatile memory is reset after heating the sample to higher temperatures, as expected. Diffusion of point defects is proposed to account for the observed memory writing and subsequent erasing over the entire sample surface. By spatially mapping the location and character of non‐volatile memory encoding in VO 2 , this study results enable the targeting of specific local regions in the film where the full insulator‐to‐metal resistivity change can be harnessed in order to maximize the working range of memory elements for conventional and neuromorphic computing applications.

Topics & Concepts

Materials scienceInsulator (electricity)Neuromorphic engineeringMetal–insulator transitionResistive random-access memoryOptoelectronicsMetalComputer scienceElectrical engineeringVoltageArtificial neural networkMetallurgyEngineeringMachine learningAdvanced Memory and Neural ComputingTransition Metal Oxide NanomaterialsNeural dynamics and brain function
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