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Smart memristors with innovative properties are crucial for the advancement of next-generation information storage and bioinspired neuromorphic computing. However, the presence of significant sneak currents in large-scale memristor arrays results in operational errors and heat accumulation, hindering their practical utility. This study successfully synthesizes a quasi-free-standing BiOSe single-crystalline film and achieves layer-controlled oxidation by developing large-scale UV-assisted intercalative oxidation, resulting β-BiSeO/BiOSe heterostructures. The resulting β-BiSeO/BiOSe memristor demonstrates remarkable self-rectifying resistive switching performance (over 10 for ON/OFF and rectification ratios, as well as nonlinearity) in both nanoscale (through conductive atomic force microscopy) and microscale (through memristor array) regimes. Furthermore, the potential for scalable production of self-rectifying β-BiSeO/BiOSe memristor, achieving sub-pA sneak currents to minimize cross-talk effects in high-density memristor arrays is demonstrated. The memristors also exhibit ultrafast resistive switching (sub-100 ns) and low power consumption (1.2 pJ) as characterized by pulse-mode testing. The findings suggest a synergetic effect of interfacial Schottky barriers and oxygen vacancy migration as the self-rectifying switching mechanism, elucidated through controllable β-BiSeO thickness modulation and theoretical ab initio calculations.
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http://dx.doi.org/10.1002/adma.202406608 | DOI Listing |
Nanoscale
September 2025
Department of Physics, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea.
Memristors have emerged as promising candidates for high-density non-volatile memory and neuromorphic computing due to their simple structure and low power operation. However, conventional memristive switching devices often require a lot of energy for fabrication processes and high operating voltages, which not only hinder integration with flexible substrates but also impose substantial limitations on overall energy efficiency. In this study, we demonstrated a memristive switching device based on copper sulfide (CuS), fabricated through a room-temperature sulfurization synthesis process.
View Article and Find Full Text PDFMicromachines (Basel)
July 2025
Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA.
Synthetic nanopores were recently demonstrated with memristive and nonlinear voltage-current behaviors, akin to ion channels in a cell membrane. Such ionic devices are considered a promising candidate for the development of brain-inspired neuromorphic computing techniques. In this work, we show the composite behavior of nanopore-array large memristors, formed with different membrane materials, pore sizes, electrolytes, and device arrangements.
View Article and Find Full Text PDFNat Commun
August 2025
State Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory for Intelligent Nano Materials and Devices of the Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.
Biological nervous systems rely on distinct spiking frequencies across a wide range for perceiving, transmitting, processing, and executing information. Replicating this frequency range in an artificial neuron would facilitate the emulation of biosignal diversity but it remains challenging. Here, we develop an ion-electronic hybrid artificial neuron by compactly integrating a nonlinear electrochemical element with a solid-state memristor.
View Article and Find Full Text PDFNano Converg
August 2025
Department of Semiconductor Systems Engineering, Sejong University, Seoul, 05006, Republic of Korea.
Lead-free halide-perovskite memristors have advanced rapidly from initial proof-of-concept junctions to centimeter-scale selector-free crossbar arrays, maintaining full compatibility with CMOS backend processes. In these highly interconnected matrices, surface passivation, strain-relief interfaces, and non-toxic B-site substitutions successfully reduce sneak currents and stabilize resistance states. The Introduction section lays out the structural and functional basis, detailing phase behavior, bandgap tunability, and tolerance-factor-guided crystal design within Ruddlesden-Popper, Dion-Jacobson, vacancy-ordered, and double-perovskite frameworks, each of which is evaluated for its ability to confine filaments and reduce crosstalk in crossbar configurations.
View Article and Find Full Text PDFNano Lett
August 2025
Key Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China.
Oxide-based memristors hold promise for computing-in-memory (CIM) architectures due to their compatibility with complementary metal-oxide-semiconductor processes. However, the intrinsically nonuniform growth rates and stochastic formation pathways of conductive filaments (CFs) degrade conductance modulation linearity and cycle-to-cycle uniformity, thereby hindering their application in reliable CIM systems. Here, we propose a simple approach to simultaneously improve the linearity and uniformity of HfO memristors through gradient nitrogen-doping (GND).
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