Results 81 to 90 of about 118,911 (236)

Kirigami‐Cut Pattern Designs for the Enhancement of Sensing Performance Induced by Programmable Out‐of‐Plane Deformation

open access: yesAdvanced Science, EarlyView.
Different kirigami patterns are proposed and the parameters are optimized by comparing the out‐of‐plane deformation behavior. Then, the proposed patterns are fabricated on PVDF film using laser technology. The deformed kirigami‐cut PVDF is embedded into PDMS to construct pressure senor.
Xiaodong Huang   +6 more
wiley   +1 more source

Design of Energy-Efficient Induction motor using ANSYS software

open access: yesResults in Engineering, 2022
M. Aishwarya, R. M. Brisilla
semanticscholar   +1 more source

Bamboo‐Slip‐Inspired Conformal Reconfigurable Metasurfaces

open access: yesAdvanced Science, EarlyView.
Bamboo‐slip‐inspired conformal reconfigurable metasurface system. The structure is mainly composed of three parts, which are conformal metasurface, pattern reconfigurable antenna, and control components (such as Field Programmable Gate Array (FPGA)). Conformal metasurfaces draw inspiration from the design of ancient Chinese bamboo slips.
Qifan Li   +9 more
wiley   +1 more source

Cavity‐Enhanced Eye‐Readable Detection of 0.1% H2 via Active Modulation of Charge‐Transfer Plasmons

open access: yesAdvanced Science, EarlyView.
A cavity‐structured nanoparticle sensor is developed for highly sensitive, eye‐readable hydrogen detection. Its excellent colorimetric response arises from a hydrogen‐induced charge‐transfer mechanism: reduction of the dielectric oxide shell in H2 triggers a transition from the plasmonic gap mode to the charge‐transfer plasmon mode.
Xuemin Zhang   +9 more
wiley   +1 more source

Programmable Sequential 4D Actuation in Multistable Kirigami Metamaterials

open access: yesAdvanced Science, EarlyView.
This study presents a modular kirigami metamaterial framework enabling programmable multistability and sequential 4D actuation. By coupling geometry‐controlled multistability with material‐dependent recovery kinetics, spatiotemporal deformation can be precisely programmed.
Eui‐Hyun Kim   +3 more
wiley   +1 more source

Comportamiento termico para cámara PCR

open access: yesVisión Electrónica, 2008
El presente artículo muestra el procedimiento y los resultados obtenidos al realizar la simulación de una cámara de reacción para el proceso PCR (Polimerase Chain Reaction), mediante el cual se amplifica el DNA.
Ricardo Piraján C., Carlos López P.
doaj  

Ag Nanowire‐Integrated MoS2/ZnO Heterojunctions for Highly Efficient Photogenerated Charge Transfer

open access: yesAdvanced Electronic Materials, Volume 11, Issue 6, May 2025.
A versatile strategy is reported for fabricating multi‐dimensional heterojunctions with significantly improved charge transfer capability. By integrating Ag nanowires with a MoS2/ZnO heterojunction, a fourfold increase in surface photovoltage is achieved, reaching 200 mV under visible light illumination.
Anh Thi Nguyen   +8 more
wiley   +1 more source

On the numerical prediction of the anisotropic elastic properties in thin-walled structures made from short-fiber reinforced plastics1

open access: yesComputer Assisted Methods in Engineering and Science, 2022
The paper presents a model which allows to estimate the elastic properties of thin-walled structures manufactured by means of injection molding. The starting point is the numerical prediction of the microstructure of a short fiber reinforced composite ...
Holm Altenbach   +2 more
doaj  

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia   +2 more
wiley   +1 more source

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