Results 191 to 200 of about 914,879 (290)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

open access: yesAdvanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su   +13 more
wiley   +1 more source

Development and Internal Validation of a Gradient Boosting Model for Pressure Injury Risk in the ICU. [PDF]

open access: yesInt Wound J
Qian S   +9 more
europepmc   +1 more source

Boosting Ferroelectricity: 2D and Polymer Ferroelectric Hybrids Enabling Ambipolar Nonvolatile MoS2 Memory Transistor

open access: yesAdvanced Science, EarlyView.
Two‐dimensional CuInP2S6 nanosheets are incorporated into a P(VDF‐TrFE) matrix to induce polarization‐cooperative ferroelectric coupling. The resulting P(VDF‐TrFE)/CuInP2S6 hybrid film exhibits reinforced ferroelectric ordering and reduced coercive electric fields compared with pristine P(VDF‐TrFE).
Yeonsu Jeong   +10 more
wiley   +1 more source

Modelling the urban acoustic environment using land use-based gradient boosting. [PDF]

open access: yesJ Expo Sci Environ Epidemiol
Haselhoff T   +4 more
europepmc   +1 more source

Study on the Reaction Mechanism of RuOx and Its Enhanced Hydrogen Evolution Reaction Activity

open access: yesAdvanced Science, EarlyView.
In situ Raman spectroscopy and DFT calculations reveal that, prior to the onset of HER, the surface of RuOx undergoes reversible reduction and structural reconstruction. The resulting Ru(II)O/Ru(IV)O2 configuration is identified as the true catalytically active species.
Liquan Zhang   +9 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning

open access: yes
Gradient boosting is a sequential ensemble method that fits a new weaker learner to pseudo residuals at each iteration. We propose Wasserstein gradient boosting, a novel extension of gradient boosting that fits a new weak learner to alternative pseudo ...
Matsubara, Takuo
core  

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