journal article·2023-06-27Open access

Trade-off between Gradual Set and On/Off Ratio in HfOx-Based Analog Memory with a Thin SiOxBarrier Layer

Fabia F. Athena, Matthew P. West, Jinho Hah, Samuel Graham, Eric M. Vogel

Abstract

High Resolution Image Download MS PowerPoint Slide HfO x -based synapses are widely accepted as a viable candidate for both in-memory and neuromorphic computing. Resistance change in oxide-based synapses is caused by the motion of oxygen vacancies. HfO x -based synapses typically demonstrate an abrupt nonlinear resistance change under positive bias application (set), limiting their viability as analog memory. In this work, a thin barrier layer of AlO x or SiO x is added to the bottom electrode/oxide interface to slow the migration of oxygen vacancies. Electrical results show that the resistance change in HfO x /SiO x devices is more controlled than the HfO x devices during the set. While the on/off ratio for the HfO x /SiO x devices is still large (∼10), it is shown to be smaller than that of HfO x /AlO x and HfO x devices. Finite element modeling suggests that the slower oxygen vacancy migration in HfO x /SiO x devices during reset results in a narrower rupture region in the conductive filament. The narrower rupture region causes a lower high resistance state and, thus, a smaller on/off ratio for the HfO x /SiO x devices. Overall, the results show that slowing the motion of oxygen vacancies in the barrier layer devices improves the resistance change during the set but lowers the on/off ratio.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, United States

George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

Funding

International Business Machines Corporation · Georgia Institute of Technology · Division of Graduate Education · Air Force Office of Scientific Research · National Science Foundation

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