Results 141 to 150 of about 2,588,636 (293)

Exceptional Elasto‐Dielectric Properties in a Highly Flexible Dielectric Elastomer Composite: The Key Roles of Parallel Elastic Nanofibers

Advanced Materials Technologies, EarlyView.
Soft dielectric elastomer composites often face a trade‐off between enhanced dielectric properties and mechanical compliance. Here, a parallel‐aligned polyurethane nanofiber network embedded in PDMS creates a flexible, durable composite with increased permittivity, low modulus, and fatigue stability after 100,000 cycles.
Yi Ge, Jiacheng Zhou, Yuxin Tan, Juntao Zhao, Junhui Huang, Lei Fu, Zepeng Lv, Jun Zhou, Yusuke Yamauchi, Kai Wu   +9 more
wiley   +1 more source

Bandwidth Selection in Nonparametric Kernel Testing [PDF]

We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an Edgeworth expansion of the asymptotic distribution of the test concerned.
Jiti Gao, Irene Gijbels
core  

Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation

Advanced Materials Technologies, EarlyView.
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek, Daniel Quinn, Gabriel Smith, Sarah Bergbreiter   +3 more
wiley   +1 more source

On parameter estimation for locally stationary long-memory processes [PDF]

We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared ...
Jan Beran
core  

Bandwidth Efficient Cache Selection and Content Advertisement

CoRR
Caching is extensively used in various networking environments to optimize performance by reducing latency, bandwidth, and energy consumption. To optimize performance, caches often advertise their content using indicators, which are data structures that trade space efficiency for accuracy. However, this tradeoff introduces the risk of false indications.
openaire   +2 more sources

Short and Length‐Independent Group Delay Supported by Topological Edge States in Finite‐Size Su–Schrieffer–Heeger Chains

Advanced Materials Technologies, EarlyView.
This study demonstrates short, length‐independent group delay supported by topological edge states in open Su–Schrieffer–Heeger networks. Strong boundary port coupling enables an order‐of‐magnitude latency reduction compared to bulk modes, alongside robust protection against bulk disorder.
Yu‐Han Chang, Nadia Daniela Rivera Torres, Santiago Figueroa Manrique, Raul A. Robles Robles, Vanna Chrismas Silalahi, Cen‐Shawn Wu, Gang Wang, Giulia Marcucci, Laura Pilozzi, Claudio Conti, Ray‐Kuang Lee, Watson Kuo   +11 more
wiley   +1 more source

Two‐Dimensional Isotropic Spatial Differentiation Through Complete Polarization Control

Advanced Optical Materials, EarlyView.
This work enables two‐dimensional isotropic spatial differentiation at planar interfaces over a wide range of incident angles by extending the output polarization from linear to elliptical. The choice of incident angle can be used to balance broader spectral response at low angles and higher edge‐detection efficiency at larger angles.
Doyoon Lee, Minkyung Kim
wiley   +1 more source

Nonparametric Econometrics: The np Package

Journal of Statistical Software, 2008
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
doaj  

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials. [PDF]

Adv Sci (Weinh)
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Yang Z, Li M, Xie X, Chen A, Bifano TG, Zhang X.   +5 more
europepmc   +2 more sources