Results 61 to 70 of about 176,248 (249)

High‐Entropy Perovskite Nanofibers for Bifunctional Air Electrodes in Reversible Protonic Ceramic Electrochemical Cells

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy perovskite nanofibers serve as robust and active bifunctional air electrodes in reversible protonic ceramic electrochemical cells. Their compositional complexity stabilizes the lattice, enriches oxygen vacancies, and accelerates surface exchange.
Hyeonggeun Kim   +4 more
wiley   +1 more source

A Modular Robot Transplantation Method Based on the Improved Inverse Distance Weighting Method Proxy Model

open access: yesIEEE Access, 2020
When integrating evolutionary algorithms into the process of the design of modular robots, the “reality gap” problem leads to the difference between simulation and reality.
Yang Liu   +4 more
doaj   +1 more source

Solvent‐Free Bonding Mechanisms and Microstructure Engineering in Dry Electrode Technology for Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang   +7 more
wiley   +1 more source

Spatial and Quantitative Analyses of Sasanian Ceramics from the Architectural Spaces of Bazeh-Hur Chahartaq [PDF]

open access: yesIranian Journal of Archaeological Studies, 2019
This study presents a model for the spatial structure of ceramic vessels across the architectural complex of Bazeh-Hur site (6th to 8th centuries AD), using Inverse Distance Weighting interpolation for modelling and Mean Relative Error and Root Mean ...
Meysam Labbaf-Khaniki   +4 more
doaj   +1 more source

Inverse distance weighting attention

open access: yes, 2023
We report the effects of replacing the scaled dot-product (within softmax) attention with the negative-log of Euclidean distance. This form of attention simplifies to inverse distance weighting interpolation.
McCarter, Calvin
core  

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Reconstruction of potential energy profiles from multiple rupture time distributions

open access: yes, 2010
We explore the mathematical and numerical aspects of reconstructing a potential energy profile of a molecular bond from its rupture time distribution.
Dudko O. K., Freund L. B., Keller H. B.
core   +1 more source

Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers

open access: yesAdvanced Functional Materials, EarlyView.
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung   +7 more
wiley   +1 more source

Spatial modelling of PM2.5 concentrations in Tehran using Kriging and inverse distance weighting (IDW) methods

open access: yesJournal of Air Pollution and Health, 2020
Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 μ (PM2.5) in the ...
Kazhal Masroor   +6 more
doaj   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Home - About - Disclaimer - Privacy