Results 61 to 70 of about 31,408 (262)

A Compact Closed-Form Dynamic Hysteresis Model for Energy-Loss Prediction in Power Magnetic Components

open access: yesEnergies
Magnetic hysteresis strongly influences energy dissipation and efficiency in power magnetic components under time-varying excitation. This work proposes a compact dynamic hysteresis model using a Hammerstein structure, consisting of a closed-form ...
Yingjie Tang   +2 more
doaj   +1 more source

The Influence of the Relaxation Time on the Dynamic Hysteresis in Perovskite Solar Cells

open access: yesEPJ Web of Conferences, 2018
We investigate the dynamic behavior of perovskite solar cells by focusing on the relaxation time τ, which corresponds to the slow de-polarization process from an initial bias pre-poled state.
Palici Alexandra   +6 more
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

open access: yesAdvanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa   +19 more
wiley   +1 more source

Negative hysteresis in the behavioral dynamics of the affordance “graspable” [PDF]

open access: yesAttention, Perception, & Psychophysics, 2013
One commonly perceives whether a visible object will afford grasping with one hand or with both hands. In experiments in which differently sized objects of a fixed type are presented, the transition from using one of these manual modes to the other depends on the ratio of object size to hand span and on the presentation sequence, with size increasing ...
Lopresti-Goodman, Stacy M.   +2 more
openaire   +4 more sources

Analysis of hysteresis phenomenon as observed from voltammetric data of conducting polymers: part I

open access: yesJournal of the Brazilian Chemical Society, 2003
The hysteresis phenomenon inherent to redox processes of Electronic Conducting Polymers (ECP) has been studied. Hysteresis was divided into two classes: i) dynamic hysteresis, containing a kinetic and an ohmic component and ii) stationary or ...
Matencio Tulio   +2 more
doaj  

Identification of Hysteresis in Human Meridian Systems Based on NARMAX Model

open access: yesJournal of Applied Mathematics, 2012
It has been found that the response of acupuncture point on the human meridian line exhibits nonlinear dynamic behavior when excitation of electroacupuncture is implemented on another meridian point.
Yonghong Tan   +3 more
doaj   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang   +7 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

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