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Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing

delete2021-10-01
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OA
AI
R
Revannath Dnyandeo Nikam
J
Jongwon Lee
W
Wooseok Choi
W
Writam Banerjee
M
Myonghoon Kwak
M
Manoj Yadav
H
Hyunsang Hwang *
DOI:10.1002/smll.202103543delete
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Abstract

Abstract

En 中文
The first report on ion transport through atomic sieves of atomically thin 2D material is provided to solve critical limitations of electrochemical random-access memory (ECRAM) devices. Conventional ECRAMs have random and localized ion migration paths; as a result, the analog switching efficiency is inadequate to perform in-memory logic operations. Herein ion transport path scaled down to the one-atom-thick (approximate to 0.33 nm) hexagonal boron nitride (hBN), and the ionic transport area is confined to a small pore (approximate to 0.3 nm(2)) at the single-hexagonal ring. One-atom-thick hBN has ion-permeable pores at the center of each hexagonal ring due to weakened electron cloud and highly polarized B-N bond. The experimental evidence indicates that the activation energy barrier for H+ ion transport through single-layer hBN is approximate to 0.51 eV. Benefiting from the controlled ionic sieving through single-layer hBN, the ECRAMs exhibit superior nonvolatile analog switching with good memory retention and high endurance. The proposed approach enables atomically thin 2D material as an ion transport layer to regulate the switching of various ECRAM devices for artificial synaptic electronics.
Keywords:
2D materials
artificial synapses
hexagonal boron nitride
ionic transport
neuromorphic computing

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IF:
12.1
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3.0W
Citations:
16.4W

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