Results 71 to 80 of about 304,396 (342)
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
Scaling laws for the 2d 8-state Potts model with Fixed Boundary Conditions
We study the effects of frozen boundaries in a Monte Carlo simulation near a first order phase transition. Recent theoretical analysis of the dynamics of first order phase transitions has enabled to state the scaling laws governing the critical regime of
A. Hintermann +33 more
core +1 more source
The Onset of Convective Coupling and Freezing in the White Dwarfs of 47 Tucanae [PDF]
Using images from the Hubble Space Telescope Advanced Camera for Surveys, we measure the rate of cooling of white dwarfs in the globular cluster 47 Tucanae and compare it to modelled cooling curves. We examine the effects of the outer convective envelope
Caiazzo, Ilaria +5 more
core +2 more sources
Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek +11 more
wiley +1 more source
Latent Heat Nudging in the Canadian High-Resolution (2.5 km) Regional Deterministic Prediction System [PDF]
Dominik Jacques, Daniel Michelson
openalex +1 more source
Critical Exponents of the Three Dimensional Random Field Ising Model
The phase transition of the three--dimensional random field Ising model with a discrete ($\pm h$) field distribution is investigated by extensive Monte Carlo simulations.
A P Young +8 more
core +1 more source
Parametric analysis of influencing factors in Phase Change Material Wallboard (PCMW) [PDF]
Incorporating Phase Change Materials (PCMs) into traditional building structures has been considered as an effective way to reduce the mismatch between energy supply and demand and in turn to minimise energy consumption (cooling/heating energy).
Shire, G. S. F. +2 more
core +1 more source
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Scale and confinement phase transitions in scale invariant $SU(N)$ scalar gauge theory
We consider scalegenesis, spontaneous scale symmetry breaking, by the scalar-bilinear condensation in $SU(N)$ scalar gauge theory. In an effective field theory approach to the scalar-bilinear condensation at finite temperature, we include the Polyakov ...
Kubo, Jisuke, Yamada, Masatoshi
core +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source

