Results 101 to 110 of about 31,264 (300)

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Neuromorphic Spintronics

Neuromorphic spintronics combines two advanced fields in technology, neuromorphic computing and spintronics, to create brain-inspired, efficient computing systems that leverage the unique properties of the electron's spin. In this book chapter, we first introduce both fields - neuromorphic computing and spintronics and then make a case for neuromorphic
Atreya Majumdar, Karin Everschor-Sitte
openaire   +3 more sources

Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing

Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence
Temporal processing is vital for extracting meaningful information from time-varying signals. Recent advancements in Spiking Neural Networks (SNNs) have shown immense promise in efficiently processing these signals. However, progress in this field has been impeded by the lack of effective and standardized benchmarks, which complicates the consistent ...
Xinyi Chen, Chenxiang Ma, Yujie Wu 0002, Kay Chen Tan, Jibin Wu   +4 more
openaire   +2 more sources

Neuromorphic Programming:Emerging Directions for Brain-Inspired Hardware [PDF]

The value of brain-inspired neuromorphic computers critically depends on our ability to program them for relevant tasks. Currently, neuromorphic hardware often relies on machine learning methods adapted from deep learning. However, neuromorphic computers
Abreu, Steven; id_orcid, Pedersen, Jens,, Abreu, Steven,, Pedersen, Jens E.   +3 more
core   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

Advanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto, Javier Zamudio‐García, Abraham Sánchez‐Caballero, David Marrero‐López, Vincenzo Esposito   +4 more
wiley   +1 more source

Digital Computing Continuum Abstraction for Neuromorphic Systems

The rising complexity and data generation in cyber-physical systems and the Internet of Things require a shift towards an edge-to-cloud computing continuum ecosystem with enhanced artificial intelligence (AI) capabilities.
Sandin, Fredrik,, Schelén, Olov,, Lindgren, Anders,, Bodin, Ulf,   +3 more
core   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Neuromorphic place cells

Neuromorphic Computing and Engineering
Abstract A neuromorphic simultaneous localization and mapping (SLAM) system shows potential for more efficient implementation than its traditional counterpart. At the mean time a neuromorphic model of spatial encoding neurons in silicon could provide insights on the functionality and dynamic between each group of cells.
Zhaoqi Chen, Alia Nasrallah, Ralph Etienne-Cummings   +2 more
openaire   +3 more sources

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

Neuromorphic computing with spintronics

npj Spintronics
Abstract Spintronics and magnetic materials exhibit many physical phenomena that are promising for implementing neuromorphic computing natively in hardware. Here, we review the current state-of-the-art, focusing on the areas of spintronic synapses, neurons, and neural networks.
Marrows, C.H., Barker, J., Moore, T.A., Moorsom, T.   +3 more
openaire   +2 more sources