Synaptic Plasticity and Learning Behaviors Mimicked in Single Inorganic Synapses of Pt/HfOx/ZnOx/TiN Memristive System

In this work, a kind of new memristor with the simple structure of Pt/HfOx/ZnOx/TiN was fabricated completely via combination of thermal-atomic layer deposition (TALD) and plasma-enhanced ALD (PEALD). The synaptic plasticity and learning behaviors of Pt/HfOx/ZnOx/TiN memristive system have been investigated deeply. Multilevel resistance states are obtained by varying the programming voltage amplitudes during the pulse cycling. The device conductance can be continuously increased or decreased from cycle to cycle with better endurance characteristics up to about 3 × 103 cycles. Several essential synaptic functions are simultaneously achieved in such a single double-layer of HfOx/ZnOx device, including nonlinear transmission properties, such as long-term plasticity (LTP), short-term plasticity (STP), and spike-timing-dependent plasticity. The transformation from STP to LTP induced by repetitive pulse stimulation is confirmed in Pt/HfOx/ZnOx/TiN memristive device. Above all, simple structure of Pt/HfOx/ZnOx/TiN by ALD technique is a kind of promising memristor device for applications in artificial neural network.

[1]  Zhiyong Li,et al.  Ionic/Electronic Hybrid Materials Integrated in a Synaptic Transistor with Signal Processing and Learning Functions , 2010, Advanced materials.

[2]  M. Aoki,et al.  Sub-$\hbox{100-}\mu\hbox{A}$ Reset Current of Nickel Oxide Resistive Memory Through Control of Filamentary Conductance by Current Limit of MOSFET , 2008, IEEE Transactions on Electron Devices.

[3]  Qian Liu,et al.  Bivariate-continuous-tunable interface memristor based on Bi2S3 nested nano-networks , 2014, Nano Research.

[4]  Yervant Zorian,et al.  2001 Technology Roadmap for Semiconductors , 2002, Computer.

[5]  F. Zeng,et al.  Synaptic plasticity and learning behaviours mimicked through Ag interface movement in an Ag/conducting polymer/Ta memristive system , 2013 .

[6]  Shimeng Yu,et al.  A Low Energy Oxide‐Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation , 2013, Advanced materials.

[7]  Wei Yang Lu,et al.  Nanoscale memristor device as synapse in neuromorphic systems. , 2010, Nano letters.

[8]  D. Stewart,et al.  The missing memristor found , 2008, Nature.

[9]  Run‐Wei Li,et al.  Organic Biomimicking Memristor for Information Storage and Processing Applications , 2016 .

[10]  Xiaopei Zhang,et al.  Research of Science and Technology Strategic Base on the International Technology Roadmap for Semiconductors , 2018, EEET.

[11]  Jiang Yin,et al.  Memristive behaviors of LiNbO3 ferroelectric diodes , 2010 .

[12]  Shimeng Yu,et al.  An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation , 2011, IEEE Transactions on Electron Devices.

[13]  T. Hasegawa,et al.  Controlling the Synaptic Plasticity of a Cu2S Gap‐Type Atomic Switch , 2012 .

[14]  Urs Gerber,et al.  A frequency-dependent switch from inhibition to excitation in a hippocampal unitary circuit , 2004, Nature.

[15]  F. Zeng,et al.  Recent progress in resistive random access memories: Materials, switching mechanisms, and performance , 2014 .

[16]  Shimeng Yu,et al.  Ultra-low-energy three-dimensional oxide-based electronic synapses for implementation of robust high-accuracy neuromorphic computation systems. , 2014, ACS nano.

[17]  E. Marder,et al.  Plasticity in single neuron and circuit computations , 2004, Nature.

[18]  J. Yang,et al.  Memristive switching mechanism for metal/oxide/metal nanodevices. , 2008, Nature nanotechnology.

[19]  T. Hasegawa,et al.  Learning Abilities Achieved by a Single Solid‐State Atomic Switch , 2010, Advanced materials.

[20]  H. Hwang,et al.  Analog memory and spike-timing-dependent plasticity characteristics of a nanoscale titanium oxide bilayer resistive switching device , 2011, Nanotechnology.

[21]  Wei Lu,et al.  Short-term Memory to Long-term Memory Transition in a Nanoscale Memristor , 2022 .

[22]  Masakazu Aono,et al.  On-demand nanodevice with electrical and neuromorphic multifunction realized by local ion migration. , 2012, ACS nano.

[23]  G. Bi,et al.  Distributed synaptic modification in neural networks induced by patterned stimulation , 1999, Nature.

[24]  Y. Liu,et al.  Synaptic Learning and Memory Functions Achieved Using Oxygen Ion Migration/Diffusion in an Amorphous InGaZnO Memristor , 2012 .

[25]  Ph. Häfliger,et al.  Spike Based Normalizing Hebbian Learning in an Analog VLSI Artificial Neuron , 1999, NIPS 1999.

[26]  L. Chua.  Memristor-The missing circuit element , 1971 .

[27]  Zhen Liu,et al.  Synaptic long-term potentiation realized in Pavlov's dog model based on a NiOx-based memristor , 2014 .

[28]  T. Hasegawa,et al.  Short-term plasticity and long-term potentiation mimicked in single inorganic synapses. , 2011, Nature materials.