Results 131 to 140 of about 1,121,998 (275)

Tuning Local Modulus at Liquid Metal‐Polymer Interfaces Regulates Electrocaloric Effect in Ferroelectric Nanocomposites

open access: yesAdvanced Electronic Materials, EarlyView.
Liquid metal nanoparticles create mechanically compliant polymer interfaces that facilitate reversible dipolar reorientation under electric fields, whereas rigid interfaces impose stronger local constraints. This soft–rigid interface comparison reveals local interfacial modulus as a key parameter for tuning electrocaloric entropy change in ...
Tian Yao   +15 more
wiley   +1 more source

Filter Synthesis Using Genesys S/Filter

open access: yes, 2016
S/Filter includes tools beyond direct synthesis, including a wide variety of both exact and approximate equivalent network transforms, methods for selecting the most desirable out of potentially thousands of synthesized alternatives, and a transform ...
Rhea, Randall W.
core  

Structured sorbents for Direct Air Capture: The impact of materials and chemicals on performance

open access: yesAIChE Journal, EarlyView.
Abstract Structured sorbents can efficiently process large air volumes required for Direct Air Capture (DAC), but their broad implementation is limited by challenges in producing reproducible and homogeneous materials. This work presents a robust procedure to graft amines onto monolithic sorbents and systematically investigates how CO2$$ {\mathrm{CO ...
Nicole Ferru   +8 more
wiley   +1 more source

Gaussian Mixture PHD Filter for Space Object Tracking

open access: yes, 2013
A Gaussian mixture Probability Hypothesis Density (PHD) filter for multiple space object tracking is presented. The PHD filter is a computationally tractable approximate Bayesian multi-object filter based on finite set statistics.
Jah, Moriba K.   +3 more
core  

Autonomous AI‐Driven Design for Skin Product Formulations

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang   +5 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

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

open access: yesAdvanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed   +15 more
wiley   +1 more source

Essential, Yet Precarious, Mistreated, Sick and Medicalized: A Sequential Explanatory Mixed‐Methods Study on Homecare Aides in Spain

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Homecare aides (HCAs) are professional non‐family caregivers, who support dependent individuals to live at home with dignity; yet in Spain they remain understudied and vulnerable, often facing precarious working conditions. We aimed to characterize HCAs’ employment, living conditions, health, and exposure to workplace violence and ...
Albert Navarro‐Giné   +6 more
wiley   +1 more source

Convergence of the auxiliary particle implementation of the PHD filter

open access: yes, 2008
Optimal Bayesian multi-target filtering is in general computationally impractical owing to the high dimensionality of the multi-target state. The Probability Hypothesis Density (PHD) filter propagates the first moment of the multi-target posterior ...
Whiteley, N, Godsill, SJ, Singh, SS, ,
core  

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