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Title: Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor

Journal Article · · Scientific Reports
DOI:https://doi.org/10.1038/srep28525· OSTI ID:1336120
 [1];  [2];  [1];  [3];  [3];  [4];  [4];  [3];  [5];  [1]
  1. Univ. of Massachusetts, Amherst, MA (United States). Dept. of Electrical and Computer Engineering
  2. Univ. of Massachusetts, Amherst, MA (United States). Dept. of Electrical and Computer Engineering; Brookhaven National Lab. (BNL), Upton, NY (United States). Center for Functional Nanomaterials
  3. Univ. of Massachusetts, Amherst, MA (United States). Dept. of Electrical and Computer Engineering, Ionic and Electronic Device and Materials Lab.
  4. Information Directorate, Rome, NY (United States). Air Force Research Lab.
  5. Brookhaven National Lab. (BNL), Upton, NY (United States). Center for Functional Nanomaterials

Memristive devices are promising candidates for the next generation non-volatile memory and neuromorphic computing. It has been widely accepted that the motion of oxygen anions leads to the resistance changes for valence-change-memory (VCM) type of materials. Only very recently it was speculated that metal cations could also play an important role, but no direct physical characterizations have been reported yet. We report a Ta/HfO2/Pt memristor with fast switching speed, record high endurance (120 billion cycles) and reliable retention. We also programmed the device to 24 discrete resistance levels, and also demonstrated over a million (220) epochs of potentiation and depression, suggesting that our devices can be used for both multi-level non-volatile memory and neuromorphic computing applications. More importantly, we directly observed a sub-10 nm Ta-rich and O-deficient conduction channel within the HfO2 layer that is responsible for the switching. Our work deepens our understanding of the resistance switching mechanism behind oxide-based memristive devices and paves the way for further device performance optimization for a broad spectrum of applications.

Research Organization:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
SC00112704
OSTI ID:
1336120
Report Number(s):
BNL-112580-2016-JA; R&D Project: 16060; 16060; KC0403020
Journal Information:
Scientific Reports, Vol. 6; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 128 works
Citation information provided by
Web of Science

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Cited By (27)

Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine journal January 2018
Brain-inspired computing with memristors: Challenges in devices, circuits, and systems journal March 2020
Modeling framework and comparison of memristive devices and associated STDP learning windows for neuromorphic applications journal July 2019
Tutorial: Fabrication and three-dimensional integration of nanoscale memristive devices and arrays journal October 2018
Ultrafast Multilevel Switching in Au/YIG/n-Si RRAM journal November 2018
Engineering synaptic characteristics of TaO x /HfO 2 bi-layered resistive switching device journal August 2018
Reinforcement learning with analogue memristor arrays journal March 2019
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks journal June 2018
A provable key destruction scheme based on memristive crossbar arrays journal October 2018
Artificial Neural Network (ANN) to Spiking Neural Network (SNN) Converters Based on Diffusive Memristors journal November 2018
Nanoionic Resistive‐Switching Devices journal November 2018
Challenges in materials and devices for resistive-switching-based neuromorphic computing journal December 2018
Formation of a Memristive Array of Crossbar-Structures Based on (Co40Fe40B20)x(LiNbO3)100 Nanocomposite journal October 2019
Memristive crossbar arrays for brain-inspired computing journal March 2019
Resistive switching materials for information processing journal January 2020
Research Update: Electron beam-based metrology after CMOS journal July 2018
Scalable 3D Ta:SiO x Memristive Devices journal November 2018
Long short-term memory networks in memristor crossbar arrays journal January 2019
Role of GO and r-GO in resistance switching behavior of bilayer TiO 2 based RRAM journal October 2018
Nanoionics-Enabled Memristive Devices: Strategies and Materials for Neuromorphic Applications journal May 2017
Tri-state resistive switching characteristics of MnO/Ta 2 O 5 resistive random access memory device by a controllable reset process journal May 2018
Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays journal December 2018
Stable Metallic Enrichment in Conductive Filaments in TaO x ‐Based Resistive Switches Arising from Competing Diffusive Fluxes journal April 2019
Nonvolatile Bio-Memristor Based on Silkworm Hemolymph Proteins journal December 2017
Understanding memristive switching via in situ characterization and device modeling journal August 2019
Long short-term memory networks in memristor crossbars text January 2018
Challenges in materials and devices for Resistive-Switching-based Neuromorphic Computing text January 2018

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