Trap-Controlled Conduction and Metal–Insulator Transition in Superconducting Cuprate Memristors
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Memristive devices based on high-temperature superconducting cuprates offer promising routes for neuromorphic computing, yet the microscopic mechanisms governing their resistive switching remain unclear. Here we investigate YBa 2 Cu 3 O 7−δ (YBCO) memristors across 80–300 K, revealing robust bipolar switching between high- and low-resistance states with temperature-independent SET and RESET voltages. Current–voltage analysis shows both states follow trap-controlled space-charge-limited conduction, modulated by shallow and deep trap states at an oxygen-deficient interfacial YBCO layer. A key enabler of this behavior is the formation of a deoxygenated layer beneath the top contact, which acts as a dynamic trap region and allows electrostatic control over a field-induced metal–insulator transition. We propose a dual-trap model where deep traps linked to CuO chain fragmentation stabilize a field-induced metal–insulator transition, enabling nonvolatile switching. These insights elucidate the role of trap dynamics in cuprate memristors and highlight their potential for cryogenic neuromorphic platforms compatible with superconducting computing architectures.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Physics of Superconductivity and Magnetism · Ferroelectric and Negative Capacitance Devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institut de Ciència de Materials de Barcelona (ICMAB-CSIC), Campus de Bellaterra, 08193 Bellaterra, Barcelona, Spain
Departament d’Enginyeria Electrònica
Universitat Autònoma de Barcelona
Funding
Agencia Estatal de Investigaci?n · European Regional Development Fund · Ag?ncia de Gesti? d'Ajuts Universitaris i de Recerca · European Cooperation in Science and Technology · Horizon 2020 Framework Programme
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