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      Experimental and Modeling Study of Metal–Insulator Interfaces to Control the Electronic Transport in Single Nanowire Memristive Devices

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          Abstract

          Memristive devices relying on redox-based resistive switching mechanisms represent promising candidates for the development of novel computing paradigms beyond von Neumann architecture. Recent advancements in understanding physicochemical phenomena underlying resistive switching have shed new light on the importance of an appropriate selection of material properties required to optimize the performance of devices. However, despite great attention has been devoted to unveiling the role of doping concentration, impurity type, adsorbed moisture, and catalytic activity at the interfaces, specific studies concerning the effect of the counter electrode in regulating the electronic flow in memristive cells are scarce. In this work, the influence of the metal–insulator Schottky interfaces in electrochemical metallization memory (ECM) memristive cell model systems based on single-crystalline ZnO nanowires (NWs) is investigated following a combined experimental and modeling approach. By comparing and simulating the electrical characteristics of single NW devices with different contact configurations and by considering Ag and Pt electrodes as representative of electrochemically active and inert electrodes, respectively, we highlight the importance of an appropriate choice of electrode materials by taking into account the Schottky barrier height and interface chemistry at the metal–insulator interfaces. In particular, we show that a clever choice of metal–insulator interfaces allows to reshape the hysteretic conduction characteristics of the device and to increase the device performance by tuning its resistance window. These results obtained from single NW-based devices provide new insights into the selection criteria for materials and interfaces in connection with the design of advanced ECM cells.

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          Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.

          Memory is believed to occur in the human brain as a result of two types of synaptic plasticity: short-term plasticity (STP) and long-term potentiation (LTP; refs 1-4). In neuromorphic engineering, emulation of known neural behaviour has proven to be difficult to implement in software because of the highly complex interconnected nature of thought processes. Here we report the discovery of a Ag(2)S inorganic synapse, which emulates the synaptic functions of both STP and LTP characteristics through the use of input pulse repetition time. The structure known as an atomic switch, operating at critical voltages, stores information as STP with a spontaneous decay of conductance level in response to intermittent input stimuli, whereas frequent stimulation results in a transition to LTP. The Ag(2)S inorganic synapse has interesting characteristics with analogies to an individual biological synapse, and achieves dynamic memorization in a single device without the need of external preprogramming. A psychological model related to the process of memorizing and forgetting is also demonstrated using the inorganic synapses. Our Ag(2)S element indicates a breakthrough in mimicking synaptic behaviour essential for the further creation of artificial neural systems that emulate characteristics of human memory.
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            Fundamentals of zinc oxide as a semiconductor

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              Approaching the Schottky–Mott limit in van der Waals metal–semiconductor junctions

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                Author and article information

                Journal
                ACS Appl Mater Interfaces
                ACS Appl Mater Interfaces
                am
                aamick
                ACS Applied Materials & Interfaces
                American Chemical Society
                1944-8244
                1944-8252
                17 November 2022
                30 November 2022
                : 14
                : 47
                : 53027-53037
                Affiliations
                []Advanced Materials Metrology and Life Sciences Division, INRiM (Istituto Nazionale di Ricerca Metrologica) , Strada delle Cacce 91, 10135Torino, Italy
                []Departament d’Enginyeria Electrònica, Universitat Autònoma de Barcelona (UAB) , 08193Cerdanyola del Vallès, Spain
                [§ ]JARA—Fundamentals for Future Information Technology , 52425Jülich, Germany
                []Peter-Grünberg-Institut (PGI 7), Forschungszentrum Jülich , Wilhelm-Johnen-Straße, 52425Jülich, Germany
                []Department of Applied Science and Technology, Politecnico di Torino , C.so Duca degli Abruzzi 24, 10129Torino, Italy
                Author notes
                Author information
                https://orcid.org/0000-0002-1983-6516
                https://orcid.org/0000-0002-0728-7214
                https://orcid.org/0000-0002-4703-7949
                Article
                10.1021/acsami.2c11022
                9716557
                36396122
                0951cfd5-b39d-4d08-9f39-6d62d4c64759
                © 2022 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 21 June 2022
                : 25 August 2022
                Funding
                Funded by: Horizon 2020 Framework Programme, doi 10.13039/100010661;
                Award ID: 20FUN06
                Categories
                Research Article
                Custom metadata
                am2c11022
                am2c11022

                Materials technology
                metal−insulator interfaces,memristive devices,resistive switching,nanowires,schottky barriers

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