Results 181 to 190 of about 3,278,184 (240)

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

open access: yesAdvanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim   +8 more
wiley   +1 more source

Direct Growth of 2D Bilayers on Au(111) for Low‐Coercive Sliding Ferroelectricity

open access: yesAdvanced Materials, EarlyView.
Controlled CVD growth of stacking‐defined bilayer ReS2 on Au(111) enables parallel‐stacked bilayers with intrinsic sliding ferroelectricity, a strong piezoelectric response, and an ultralow coercive voltage. Atomic‐resolution imaging and in situ measurements further reveal the decisive role of clean interfaces in achieving low‐barrier ferroelectric ...
Honglin Chen   +7 more
wiley   +1 more source

Liquid Crystal Elastomer‐Based Haptic Pixel Arrays at Your Fingertips for Advanced Human–Machine Interfaces

open access: yesAdvanced Materials, EarlyView.
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining   +9 more
wiley   +1 more source

Spatial Control of Light‐Responsive Proteins and Optogenetics Within Hydrogels via Volumetric Bioprinting

open access: yesAdvanced Materials, EarlyView.
Spatiotemporal control over cell behavior within bioprinted constructs remains a key challenge in biofabrication. Volumetric bioprinting using multi‐wavelength light sources permits to activate light‐sensitive intracellular proteins as well as optogenetic gene and protein expression circuits in bioprinted cells, in addition to enabling fast printing of
Davide Ribezzi   +14 more
wiley   +1 more source

Tailoring Symmetry Breaking in Engineered van der Waals Superlattices

open access: yesAdvanced Materials, EarlyView.
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin   +7 more
wiley   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

open access: yesAdvanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu   +8 more
wiley   +1 more source

Wearable Morphology‐Adaptive in‐Ear Device With Active Cleansing Capability for Multimodal Health Monitoring

open access: yesAdvanced Materials, EarlyView.
We present SCIENCE, an in‐ear multimodal physiological monitor featuring two key innovations. Water‐triggered morphological expansion (a 2‐mm cylinder to a 9‐mm spindle) achieves conformal adaptation across complex canal geometries. Simultaneously, active biofouling mitigation disrupts cerumen barriers, reducing sensor‐skin impedance by 20%.
Shuyun Zhuo   +3 more
wiley   +1 more source

TESCLA: A Fully Soft Electromagnetic Linear Actuator With Continuous Bending Enabled by Liquid‐Metal Solenoids

open access: yesAdvanced Materials, EarlyView.
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi   +3 more
wiley   +1 more source

Output feedback neurolinearization

ISA Transactions, 2001
Output-feedback neurolinearization as a new method in model independent input/output linearization has been developed. In this method input-output linearization is done only based on the input-output data of the system. The performance of this new method is compared to the global linearizing control (GLC) and to a conventional PI controller.
R B, Boozarjomehry, W Y, Svrcek
openaire   +2 more sources

Input-output linearization by dynamic output feedback

2013 European Control Conference (ECC), 2013
The problem of input-output linearization by dynamic output feedback of discrete-time multi-input multi-output nonlinear control systems is considered in this paper. The system is described by the set of higher order input-output difference equations.
Arvo Kaldmäe, Ülle Kotta
openaire   +2 more sources

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