Recent advancements in metal oxide‐based hybrid nanocomposite resistive random‐access memories for artificial intelligence DOI Creative Commons

Anirudh Kumar,

Kirti Bhardwaj, Satendra Pal Singh

et al.

InfoMat, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Abstract Artificial intelligence (AI) advancements are driving the need for highly parallel and energy‐efficient computing analogous to human brain visual system. Inspired by brain, resistive random‐access memories (ReRAMs) have recently emerged as an essential component of intelligent circuitry architecture developing high‐performance neuromorphic systems. This occurs due their fast switching with ultralow power consumption, high ON/OFF ratio, excellent data retention, good endurance, even great possibilities altering resistance biological counterparts applications. Additionally, advantages photoelectric dual modulation switching, ReRAMs allow optically inspired artificial neural networks reconfigurable logic operations, promoting innovative in‐memory technology image recognition tasks. Optoelectronic architectured can simulate functionalities, such light‐triggered long‐term/short‐term plasticity. They be used in robotics bionic neurological optoelectronic Metal oxide (MOx)–polymer hybrid nanocomposites beneficial active layer bistable metal–insulator–metal ReRAM devices, which hold promise memory technology. review explores state art storage, advancement materials, mechanisms selecting appropriate materials layers boost flexibility, density while lowering programming voltage. Furthermore, material design cum‐synthesis strategies that greatly influence overall performance MOx–polymer nanocomposite performances highlighted. recent progress multifunctional composites‐based explored synapses emulate visualization memorize information. Finally, challenges, limitations, future outlooks fabrication composite over conventional von Neumann systems discussed.

Language: Английский

Flexible Neuromorphic Electronics for Wearable Near‐Sensor and In‐Sensor Computing Systems DOI Open Access
Hyowon Jang,

Ji-Hwan Lee,

Chang‐Jae Beak

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Abstract Flexible neuromorphic architectures that emulate biological cognitive systems hold great promise for smart wearable electronics. To realize neuro‐inspired sensing and computing electronics, artificial sensory neurons detect process external stimuli must be integrated with central nervous capable of parallel computation. In near‐sensor computing, synaptic devices, sensors are used to receptors, respectively. contrast, in in‐sensor a single multifunctional device serves as both the receptor neuron. Bio‐inspired efficiently through data structuring techniques, significantly reducing volume enabling extension applications systems. construct near‐ it is crucial develop synapses replicate functionalities. Additionally, exhibit high mechanical flexibility integration density. This review addresses research on flexible bio‐inspired systems, classified into computing. It covers fundamental aspects, including processes, required components, structures each component, well Finally, offers perspectives future directions electronics connected next‐generation Internet Things.

Language: Английский

Citations

3
An Optoelectronic Memristor Based on Proton‐Involved Photoreduction for Bimodal Sensing, Memory, and Processing DOI Creative Commons

Qiaoling Tian,

Xinyu Sui,

Xiaoning Zhao

et al.

Advanced Intelligent Systems, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Advanced devices and systems with integrated sensing, memory, processing functionalities similar to those of the human nervous system are highly desirable for efficient artificial intelligence applications. In this study, an optoelectronic memristor bimodal based on graphite oxide (GO)/titanium dioxide (TiO 2 ) nanocomposite is presented. The resistive switching behavior proton‐involved photoreduction, exhibits humidity‐dependent optical synaptic behaviors synapse. plasticity synapse can be further modulated by a heterosynapse external bias caused electric field‐driven oxygen migration. These features equip not only combined light/humidity information sensing memory but also contrast enhancement attention‐driven visual system. Moreover, as proof concept, sensory–motion constructed, which sends feedback direct responses in robotic arm. This work could provide fundamental unit future development perception humanoid robots.

Language: Английский

Citations

0
Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe2/PxOy Heterostructured Memristor DOI

Yumo Li,

Hao Sun,

Langchun Yue

et al.

The Journal of Physical Chemistry Letters, Journal Year: 2024, Volume and Issue: 15(34), P. 8752 - 8758

Published: Aug. 20, 2024

Developing brain-inspired neuromorphic paradigms is imperative to breaking through the von Neumann bottleneck. The emulation of synaptic functionality has motivated exploration optoelectronic memristive devices as high-performance artificial synapses, yet realization such a modulatory terminal capable full light-modulation, especially near-infrared stimuli, remains challenge. Here, fully light-modulated memristor reported on P-MoSe

Language: Английский

Citations

2
Recent advancements in metal oxide‐based hybrid nanocomposite resistive random‐access memories for artificial intelligence DOI Creative Commons

Anirudh Kumar,

Kirti Bhardwaj, Satendra Pal Singh

et al.

InfoMat, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Abstract Artificial intelligence (AI) advancements are driving the need for highly parallel and energy‐efficient computing analogous to human brain visual system. Inspired by brain, resistive random‐access memories (ReRAMs) have recently emerged as an essential component of intelligent circuitry architecture developing high‐performance neuromorphic systems. This occurs due their fast switching with ultralow power consumption, high ON/OFF ratio, excellent data retention, good endurance, even great possibilities altering resistance biological counterparts applications. Additionally, advantages photoelectric dual modulation switching, ReRAMs allow optically inspired artificial neural networks reconfigurable logic operations, promoting innovative in‐memory technology image recognition tasks. Optoelectronic architectured can simulate functionalities, such light‐triggered long‐term/short‐term plasticity. They be used in robotics bionic neurological optoelectronic Metal oxide (MOx)–polymer hybrid nanocomposites beneficial active layer bistable metal–insulator–metal ReRAM devices, which hold promise memory technology. review explores state art storage, advancement materials, mechanisms selecting appropriate materials layers boost flexibility, density while lowering programming voltage. Furthermore, material design cum‐synthesis strategies that greatly influence overall performance MOx–polymer nanocomposite performances highlighted. recent progress multifunctional composites‐based explored synapses emulate visualization memorize information. Finally, challenges, limitations, future outlooks fabrication composite over conventional von Neumann systems discussed.

Language: Английский

Citations

0