Results 131 to 140 of about 24,472 (312)

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

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

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

Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements

Frontiers in Computational Neuroscience
IntroductionFeedback and reinforcement signals in the brain act as natures sophisticated teaching tools, guiding neural circuits to self-organization, adaptation, and the encoding of complex patterns.
Dominik Krenzer, Martin Bogdan, Martin Bogdan, Martin Bogdan   +3 more
doaj   +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

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

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

Characterization of a Spiking Convolutional Processor for FPGA

Sensors
In event-based neuromorphic processing, computer vision finds an efficient alternative capable of optimizing computational and energy resources, inspired by the dynamics of biological neural systems. In the development of real-time processing systems, it
Dagnier A. Curra-Sosa, Francisco Gomez-Rodriguez, Alejandro Linares-Barranco   +2 more
doaj   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source