Emerging Liquid‐Based Memristive Devices for Neuromorphic Computation DOI Open Access
Qinyang Fan,

Jianyu Shang,

Xiaoxuan Yuan

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Abstract To mimic the neural functions of human brain, developing hardware with natural similarities to nervous system is crucial for realizing neuromorphic computing architectures. Owing their capability emulate artificial neurons and synapses, memristors are widely regarded as a leading candidate achieving computing. However, most current memristor devices solid‐state. In contrast, biological systems operate within an aqueous environment, brain accomplishes intelligent behaviors such information generation, transmission, memory by regulating ion transport in neuronal cells. achieve that more analogous energy‐efficient, based on liquid environments developed. contrast traditional solid‐state memristors, liquid‐based possess advantages anti‐interference, low energy consumption, heat generation. Simultaneously, they demonstrate excellent biocompatibility, rendering them ideal option next generation intelligence systems. Numerous experimental demonstrations reported, showcasing unique memristive properties novel functionalities. This review focuses recent developments discussing operating mechanisms, structures, functional characteristics. Additionally, potential applications development directions proposed.

Language: Английский

Emerging Liquid‐Based Memristive Devices for Neuromorphic Computation DOI Open Access
Qinyang Fan,

Jianyu Shang,

Xiaoxuan Yuan

et al.

Small Methods, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Abstract To mimic the neural functions of human brain, developing hardware with natural similarities to nervous system is crucial for realizing neuromorphic computing architectures. Owing their capability emulate artificial neurons and synapses, memristors are widely regarded as a leading candidate achieving computing. However, most current memristor devices solid‐state. In contrast, biological systems operate within an aqueous environment, brain accomplishes intelligent behaviors such information generation, transmission, memory by regulating ion transport in neuronal cells. achieve that more analogous energy‐efficient, based on liquid environments developed. contrast traditional solid‐state memristors, liquid‐based possess advantages anti‐interference, low energy consumption, heat generation. Simultaneously, they demonstrate excellent biocompatibility, rendering them ideal option next generation intelligence systems. Numerous experimental demonstrations reported, showcasing unique memristive properties novel functionalities. This review focuses recent developments discussing operating mechanisms, structures, functional characteristics. Additionally, potential applications development directions proposed.

Language: Английский

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