Results 91 to 100 of about 6,811 (257)

Bias‐Field Free Single‐Frequency CW‐ODMR of Nitrogen‐Vacancy Centers in Diamond for the Detection of Transient Electrical Signals

Advanced Materials Interfaces, EarlyView.
Simplified quantum sensing technique for the detection of short electrical signals occurring in neuronal signaling or bioinspired technologies. We demonstrate a single frequency continuous‐wave optically detected magnetic resonance (CW‐ODMR) approach to sense signals that can be as short as 0.2 ms.
João Paulo Silva, Orlando D. Cunha, Pedro Magalhães, Filipe Camarneiro, Jana B. Nieder   +4 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays

APL Materials, 2018
Resistive random-access memories are promising analog synaptic devices for efficient bio-inspired neuromorphic computing arrays. Here we first describe working principles for phase-change random-access memory, oxide random-access memory, and conductive ...
Scott H. Tan, Peng Lin, Hanwool Yeon, Shinhyun Choi, Yongmo Park, Jeehwan Kim   +5 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Scalable Fabrication of Neuromorphic Devices Using Inkjet Printing for the Deposition of Organic Mixed Ionic‐Electronic Conductor

Advanced Electronic Materials
Recent advancements in artificial intelligence (AI) have highlighted the critical need for energy‐efficient hardware solutions, especially in edge‐computing applications. However, traditional AI approaches are plagued by significant power consumption. In
Fabian Gärisch, Vincent Schröder, Emil J. W. List‐Kratochvil, Giovanni Ligorio   +3 more
doaj   +1 more source

Understanding Interfacial Photoswitching Mechanisms in Atomically‐Thin TMD‐Spiropyran Hybrids

Advanced Materials Technologies, EarlyView.
Photochromic molecules can effectively modulate the optoelectronic properties of atomically thin transition metal dichalcogenide semiconductors. Spiropyran that switches its chemical configuration upon alternating UV and visible irradiation enables light‐programmable optoelectronic devices.
Sewon Park, Jaehoon Ji, Michael Brophy, John Audi, Jean Rouillon, Carlos Benitez‐Martin, Joakim Andréasson, Jeong Ho You, Jong Hyun Choi   +8 more
wiley   +1 more source

Foreword to the focus issue: materials and technologies for memristors and neuromorphic devices. [PDF]

Sci Technol Adv Mater, 2023
Zhou Y, Han ST.
europepmc   +1 more source

Non‐Volatile Silicon Mach‐Zehnder Switches with 0.7 π Phase Shift Based on Graphene Heaters and Sb2Se3 Phase Change Material

Advanced Optical Materials, EarlyView.
ABSTRACT Photonic integrated circuits (PICs) can deliver unparalleled performance for future neuromorphic computing applications. Such neuromorphic PICs require a large number of tunable switches, which are typically realized with current‐controlled heaters, resulting in considerable energy consumption.
Jens Samland, Felix Hoff, Timo Veslin, Holger Lerch, Bartos Chmielak, Martin Otto, Caroline Porschatis, Bárbara Canto, Stephan Suckow, Matthias Wuttig, Max C. Lemme   +10 more
wiley   +1 more source

The road to commercial success for neuromorphic technologies

Nature Communications
Neuromorphic technologies adapt biological neural principles to synthesise high-efficiency computational devices, characterised by continuous real-time operation and sparse event-based communication.
Dylan Richard Muir, Sadique Sheik
doaj   +1 more source