Low-Power Memristor for Neuromorphic Computing: From Materials to Applications DOI Creative Commons
Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang

и другие.

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Апрель 14, 2025

Abstract As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application low-power-based memristors various aspects. The concept and structure devices are introduced. selection functional materials for low-power is discussed, including ion transport materials, phase change magnetoresistive ferroelectric materials. Two common types arrays, 1T1R 1S1R crossbar arrays introduced, physical diagrams edge chips discussed detail. Potential advanced multi-value storage, digital logic gates, analogue summarized. Furthermore, future challenges outlook based deeply discussed.

Язык: Английский

Bioinspired Electrolyte-Gated Organic Synaptic Transistors: From Fundamental Requirements to Applications DOI Creative Commons
Yuanying Liang, Hangyu Li, Hu Tang

и другие.

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Март 24, 2025

Abstract Rapid development of artificial intelligence requires the implementation hardware systems with bioinspired parallel information processing and presentation energy efficiency. Electrolyte-gated organic transistors (EGOTs) offer significant advantages as neuromorphic devices due to their ultra-low operation voltages, minimal hardwired connectivity, similar environment electrophysiology. Meanwhile, ionic–electronic coupling relatively low elastic moduli channel materials make EGOTs suitable for interfacing biology. This review presents an overview device architectures based on electrochemical field-effect transistors. Furthermore, we requirements consumption tunable synaptic plasticity in emulating biological synapses how they are affected by materials, electrolyte, architecture, mechanism. In addition, summarize basic principle sensory recent progress a building block systems. Finally, current challenges future discussed.

Язык: Английский

Процитировано

0

Low-Power Memristor for Neuromorphic Computing: From Materials to Applications DOI Creative Commons
Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang

и другие.

Nano-Micro Letters, Год журнала: 2025, Номер 17(1)

Опубликована: Апрель 14, 2025

Abstract As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application low-power-based memristors various aspects. The concept and structure devices are introduced. selection functional materials for low-power is discussed, including ion transport materials, phase change magnetoresistive ferroelectric materials. Two common types arrays, 1T1R 1S1R crossbar arrays introduced, physical diagrams edge chips discussed detail. Potential advanced multi-value storage, digital logic gates, analogue summarized. Furthermore, future challenges outlook based deeply discussed.

Язык: Английский

Процитировано

0