Results 101 to 110 of about 9,687 (293)

Memristors: two centuries on

, 2012
Memristors are dynamic electronic devices whose nanoscale realization has led to considerable research interest.
Toumazou, C., Prodromakis, T., Chua, L.
core   +1 more source

Controlled Growth of Boron Nitride in Various Phases

Advanced Materials Interfaces, EarlyView.
Phase‐selective boron nitride growth is presented as a unified materials‐design problem across hexagonal, rhombohedral, cubic, and amorphous phases. By linking synthesis routes to thermodynamic stability, kinetic accessibility, surface diffusion, interfacial templating, and energetic activation, this review clarifies how bonding and stacking are ...
Pan Wu, Kanghao Xie, Jiajie Qi, Xiaorui Zheng, Kaihui Liu, Xuedong Bai, Li Wang   +6 more
wiley   +1 more source

Modeling, Fabrication, and Characterization of Memristors

, 2014
The term “memristor” was coined by L. Chua from its two distinct functional characteristics, memory and resistor. From the symmetry argument of the circuit element and circuit variable matrix, memristor is deemed as the fourth fundamental circuit element,
Mazady, Anas
core   +1 more source

Materials for Memristors

Memristive devices are entering in our lives. They have started to be commercialized as non-volatile electronic memory, and despite their market size is still small, it is expected to increase up to 5.6 billion USD by 2026.[1] Moreover, recent ...
Lanza, Mario, Tian, He
core   +1 more source

Nature‐Derived Chitosan Biopolymer: A Promising Candidate for Sustainable Electronics

Advanced Materials Technologies, EarlyView.
In the creation of environmentally friendly devices, nature‐derived chitosan biopolymer is a promising contender for sustainable electronic research. It can be utilized to create more ecologically friendly scalable gadgets and has a variety of uses in different active layers of electronics.
Joshua McDonald, Ali Nawaz, Amandeep Singh, Prashant Sonar   +3 more
wiley   +1 more source

Efficient implementation of the Hodgkin-Huxley potassium channel via a single volatile memristor

Frontiers in Neuroscience
IntroductionIn 2012, potassium and sodium ion channels in Hodgkin-Huxley-based brain models were shown to exhibit memristive behavior. This positioned memristors as strong candidates for implementing biologically accurate artificial neurons.
Lennart P. L. Landsmeer, Lennart P. L. Landsmeer, Erbing Hua, Heba Abunahla, Muhammad Ali Siddiqi, Muhammad Ali Siddiqi, Muhammad Ali Siddiqi, Ryoichi Ishihara, Chris I. De Zeeuw, Chris I. De Zeeuw, Said Hamdioui, Christos Strydis, Christos Strydis   +12 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Formation of Light‐Emitting Defects in Ag‐Based Memristors

Advanced Electronic Materials
Optical memristors are innovative devices that enable the integration of electro‐optical functionalities—such as light modulation, multilevel optical memory, and nonvolatile reprogramming—into neuromorphic networks.
Diana Singh, Maciej Ćwierzona, Régis Parvaud, Sebastian Maćkowski, Alexandre Bouhelier   +4 more
doaj   +1 more source

Supplementary Data: Spike-Timing-Dependent Plasticity and Synaptic Consolidation in HfO₂ Memristors for Adaptive Neuromorphic Computing

Additional figures and analyses supporting the study on spike-timing-dependent plasticity and synaptic consolidation in HfO2 memristors for adaptive neuromorphic computing.Peer ...
Linares-Barranco, Bernabé, Shooshtari, Mostafa, Pahlavan, Saeideh, Serrano-Gotarredona, Teresa   +3 more
core   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source