Ricciardi, "Memristive devices based on graphene oxide," Carbon N. Y., vol. 85, pp. 383-396, 2015.S. Porro, E. Accornero, C.F. Pirri, C. Ricciardi, Memristive devices based on graphene oxide, Carbon 85 (2015) 38
Conductive graphitic channel in graphene oxide-based memristive devices. Adv. Funct. Mater. 2016, 26, 7406-7414. [CrossRef]S.K. Kim, J.Y. Kim, B.C. Jang, M.S. Cho, S.-Y. Choi, J.Y. Lee, et al., Conductive graphitic channel in graphene oxide-based memristive devices, Adv. ...
www.nature.com/scientificreports OPEN Highly Stable and Flexible Memristive Devices Based on Polyvinylpyrrolidone: WS2 Quantum Dots Haoqun An1,Yong Hun Lee1, Jeong Heon Lee1, Chaoxing Wu 2, Bon Min Koo1 & Tae Whan Kim1* Tungsten disulfide (WS2) quantum dots...
Memristive devices are electrical resistance switches that can retain a state of internal resistance based on the history of applied voltage and current. These devices can store and process information, and offer several key performance characteristics that exceed conventional integrated circuit technology. ...
This Review looks at recent progress in the development and understanding of memristive devices, and examines the performance requirements for computing with such devices. Memristive devices are electrical resistance switches that can retain a state of i
Imitation of memory and learning behaviors of nervous system by nanoscale photoelectric devices is highly desirable for building neuromorphic systems or even artificial neural networks. In this work, artificial synapses with photoelectric plasticity and memory behaviors based on a charge trapping memristive ...
synergetic synaptic devices based on stimulation of electrical and optical signals. The working mechanisms of the devices are analyzed in detail. This is followed by a discussion of the progress in mimicking synaptic functions. In addition, existing application scenarios of various synaptic devices are...
Memristive devicesneuromorphic chipresistive RAMquantum dotgrapheneArtificial neural networks(ANNs)are attracting attention for their high performance in various fields,because increasing the network size improves its functioning.Since large-scale neural networks are difficult to implement on custom hardware,a ...
graphene oxidegraphitic channelsresistive switching memoryp>On page 7406, S.-Y. Choi, J. Y. Lee, H. Y. Jeong, and co-workers report on the direct observation of conductive graphitic channels formed in the graphene oxide thin films used for the graphene-oxide based memristors. The observed ...
Metrics Abstract A memristor is a resistive device with an inherent memory. The theoretical concept of a memristor was connected to physically measured devices in 2008 and since then there has been rapid progress in the development of such devices, leading to a series of recent demonstrations of ...