Results 61 to 70 of about 177,625 (277)

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

open access: yesAdvanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

Flexible time series models for subjective distribution estimation with monetary policy in view [PDF]

open access: yes
In this paper, we introduce a new approach to estimate the subjective distribution of the future short rate from the historical dynamics of futures, based on a model generated by a Normal Inverse Gaussian distribution, with dynamical parameters.
Dominique Guegan, Florian Ielpo
core   +3 more sources

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

open access: yesAdvanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis   +19 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

A Generalized Labelled Multi-Bernoulli Filter for Extended Targets With Unknown Clutter Rate and Detection Profile

open access: yesIEEE Access, 2020
A prior knowledge of the background parameters such as clutter rate and detection profile is of critical importance in the tracking algorithms under the theory of random finite sets for extended objects which would lead to restrictions in the application.
Cuiyun Li, Zehao Fan, Renzheng Shi
doaj   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue   +6 more
wiley   +1 more source

Modelando la distribución del número de co-autores por artículo Modeling the distribution of co-authorships by paper

open access: yesInvestigación Bibliotecológica: Archivonomía, Bibliotecología e Información, 2011
Este artículo explora la modelación del número de autores que colaboran en la publicación de un artículo. Con ese fin se analizaron la distribución geométrica, la distribución Poisson truncada, la distribución Poisson lognormal y la distribución Gauss ...
Rubén Urbizagástegui Alvarado   +1 more
doaj  

Two-Dimensional Pattern-Coupled Sparse Bayesian Learning via Generalized Approximate Message Passing

open access: yes, 2015
We consider the problem of recovering two-dimensional (2-D) block-sparse signals with \emph{unknown} cluster patterns. Two-dimensional block-sparse patterns arise naturally in many practical applications such as foreground detection and inverse synthetic
Fang, Jun, Li, Hongbin, Zhang, Lizao
core   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

Inverse Gaussian Degradation Modeling and Reliability Assessment Considering Unobservable Heterogeneity

open access: yesIEEE Access
In response to the issue of neglecting the inherent differences in samples in the traditional degradation analysis of long-life aerospace products, a degradation modeling method combining a frailty model is proposed to quantify the unobservable ...
Fan Zhang   +3 more
doaj   +1 more source

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