journal article·2026-05-12

Memristive and Threshold Switching in Epitaxial Cu 2– x Se Thin Films for Neuromorphic Computing

Becker Sharif, Toyanath Joshi, Ryan Van Haren, David Lederman

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Abstract

Neuromorphic computing is based on electronic devices that emulate both synaptic memory and neuronal activation within compact, energy-efficient architectures. Materials capable of supporting these distinct neuromorphic functions within a single chemical system are therefore highly desirable. Here we report on the switching behavior of epitaxial Cu 2– x Se cubic thin films as a function of the copper concentration. Films with low Cu deficiency display volatile threshold switching with sharp turn-on, analogous to artificial neuron activation. In contrast, films with higher Cu deficiency exhibit nonvolatile memristive switching with analog conductance modulation and stable potentiation and depression, consistent with synaptic operation. Our results demonstrate that synaptic and neuron-like behaviors can be obtained by adjusting the stoichiometry within the Cu 2– x Se material system.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neural Networks and Reservoir Computing

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

Affiliations

Department of Physics

University of California, Santa Cruz

Materials Science and Engineering Program

Funding

Multidisciplinary University Research Initiative · University of California

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