Towards engineering in memristors for emerging memory and neuromorphic computing: A review

К мемристорам в контексте зарождающейся памяти и нейроморфных вычислений: обзор
A.S. Sokolov, Haider Abbas, Yawar Abbas, Changhwan Choi
2021-01-01

Resistive random-access memory (RRAM)crossbar arraysmemristorsneuromorphic applicationsswitching mechanisms
Abstract Resistive random-access memory (RRAM), also known as memristors, having a very simple device structure with two terminals, fulfill almost all of the fundamental requirements of volatile memory, nonvolatile memory, and neuromorphic characteristics. Its memory and neuromorphic behaviors are currently being explored in relation to a range of materials, such as biological materials, perovskites, 2D materials, and transition metal oxides. In this review, we discuss the different electrical behaviors exhibited by RRAM devices based on these materials by briefly explaining their corresponding switching mechanisms. We then discuss emergent memory technologies using memristors, together with its potential neuromorphic applications, by elucidating the different material engineering techniques used during device fabrication to improve the memory and neuromorphic performance of devices, in areas such as I ON / I OFF ratio, endurance, spike time-dependent plasticity (STDP), and paired-pulse facilitation (PPF), among others. The emulation of essential biological synaptic functions realized in various switching materials, including inorganic metal oxides and new organic materials, as well as diverse device structures such as single-layer and multilayer hetero-structured devices, and crossbar arrays, is analyzed in detail. Finally, we discuss current challenges and future prospects for the development of inorganic and new materials-based memristors.
1
Essential biological synaptic functions have been emulated in various switching materials (inorganic metal oxides and new organic materials) and device structures (single-layer, multilayer heterostructures, crossbar arrays).
2
Material engineering during device fabrication improves metrics such as ION/IOFF ratio, endurance, STDP, and PPF for memory and neuromorphic performance.
3
RRAM behaviors and switching mechanisms are demonstrated across diverse material classes: biological materials, perovskites, 2D materials, and transition metal oxides.
4
RRAM/memristors with simple two-terminal structures can meet fundamental requirements for volatile memory, nonvolatile memory, and neuromorphic functions.
5
The review identifies current challenges and outlines future prospects for developing inorganic- and new-material-based memristors for emerging memory and neuromorphic computing.

Memristive RRAM devices (memristors) based on various materials and device structures

Material engineering and device-level electrical behaviors related to emerging memory and neuromorphic performance, including switching mechanisms, ION/IOFF ratio, endurance, STDP, PPF, and emulation of biological synaptic functions across material systems and device architectures

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2021-01-01
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Authors
A.S. Sokolov
Haider Abbas
Yawar Abbas
Changhwan Choi
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