JOURNAL ARTICLE

Dimensionality Dependent Plasticity in Halide Perovskite Artificial Synapses for Neuromorphic Computing

Abstract

Abstract The hysteretic behavior of organic–inorganic halide perovskites (OHPs) are exploited for application in neuromorphic electronics. Artificial synapses with 2D and quasi‐2D perovskite are demonstrated that have a bulky organic cation (phenethylammonium (PEA)) to form structures of (PEA) 2 MA n ‐1 Pb n Br 3 n +1 . The OHP films have morphological properties that depend on their structure dimensionality (i.e., n value), and artificial synapses fabricated from them show synaptic responses such as short‐term plasticity, paired‐pulse facilitation, and long‐term plasticity. The operation mechanism of OHP artificial synapses are also analyzed depending on the dimensionality and it is found that quasi‐2D ( n = 3–5) OHP artificial synapses show much longer retention than 2D and 3D OHP counterparts. The calculated energy consumption of a 2D OHP artificial synapse (≈0.7 fJ per synaptic event) is comparable to that of biological synapses (1–10 fJ per synaptic event). These OHP artificial synapses may enable development of neuromorphic electronics that use very little energy.

Keywords:
Neuromorphic engineering Perovskite (structure) Curse of dimensionality Materials science Synapse Synaptic plasticity Plasticity Neural facilitation Memristor Artificial neural network Nanotechnology Artificial intelligence Computer science Neuroscience Chemistry Chemical engineering Electronic engineering Biology Composite material Engineering

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172
Cited By
9.34
FWCI (Field Weighted Citation Impact)
39
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0.99
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Citation History

Topics

Perovskite Materials and Applications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Conducting polymers and applications
Physical Sciences →  Materials Science →  Polymers and Plastics
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