Results 211 to 220 of about 25,251 (300)

Advanced Memristor Modeling: Memristor Circuits and Networks

, 2019
The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generations of electronic circuits and for their widespread application in all the areas of industry. Relatedly, the analysis of new efficient and advanced electronic elements and circuits is an essential ...
openaire   +2 more sources

MXene‐Based Flexible Memory and Neuromorphic Devices

Small, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Yan Yan, Shuangmei Xue, Kui Zhou, Meng Zhang, Yutong Zhang, Qi‐Jun Sun, Yi Liu, Vellaisamy A. L. Roy, Ye Zhou, Su‐Ting Han   +13 more
wiley   +1 more source

Controlling the Digital to Analog and Multilevel Switching in Memristors Based on Zr-Doped HfO₂ by Interface Engineering. [PDF]

Materials (Basel)
Han C, Qin H, Shao W, Fang H, Zhang H, Wang X, Wang Y, Liu Y, Tong Y.   +8 more
europepmc   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

Small, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li, Yanyan He, Chengyang Wang, Weng Fu Io, Feng Guo, Wenjing Jie, Jianhua Hao   +6 more
wiley   +1 more source

Total Solution-Processed Zr: HfO₂ Flexible Memristor with Tactile Sensitivity: From Material Synthesis to Application in Wearable Electronics. [PDF]

Sensors (Basel)
Yao L, Jia Y.
europepmc   +1 more source

Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation

Small, EarlyView.
An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn, Do Kyeong Yun, Mi Hyang Park, Hong Woon Yun, Minh Chien Nguyen, Van Tu Vu, Huamin Li, Pallavi Aggarwal, Woo Jong Yu   +8 more
wiley   +1 more source

A Reconfigurable Memristor-Based Computing-in-Memory Circuit for Content-Addressable Memory in Sensor Systems. [PDF]

Sensors (Basel)
Hu H, Liu Y, Liu S, Wang J, Xiao S, Yan S, Pan R, Wang Y, Liao X, Mao T, Chen Y, Wang X, Liu Y.   +12 more
europepmc   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Optoelectronic polymer memristors with dynamic control for power-efficient in-sensor edge computing. [PDF]

Light Sci Appl
Zhou J, Li W, Chen Y, Qian H, Lin YH, Li R, Wang Z, Wang J, Shi W, Tao X, Tao Y, Ling H, Huang W, Yi M.   +13 more
europepmc   +1 more source

Self‐Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges

Small, EarlyView.
This review outlines how triboelectric self‐powered tactile sensors can be integrated with neuromorphic devices to emulate human touch. It summarizes current coupling strategies, operational modes, and synaptic functions enabled by triboelectric nanogerator (TENG)‐based systems, while highlighting key mechanisms, performance considerations, and future ...
Fabrizio Torricelli, Giuseppina Pace
wiley   +1 more source