Memristive and Threshold Switching in Epitaxial Cu 2– x Se Thin Films for Neuromorphic Computing
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
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
References (58)
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