Results 131 to 140 of about 226,456 (268)

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

AI literacy among basic school teachers in Ghana: A structural equation modelling analysis. [PDF]

open access: yesPLoS One
Arkorful V   +6 more
europepmc   +1 more source

Hyperpolarization of [1‐13C]Ketoisocaproate‐d2 by Reversible Exchange with Parahydrogen Enables Profiling of Branched‐Chain‐Amino‐Acid Metabolism in Cellulo and in Vivo

open access: yesAdvanced Science, EarlyView.
We report the fast generation of biocompatible solutions of highly 13C‐hyperpolarized (≈11%) partially‐deuterated ketoisocaproate within <6 min using spin‐lock‐induced crossing and reversible exchange with parahydrogen (SLIC‐SABRE). This enables rapid detection of branched‐chain‐amino‐acid transferase 1 (BCAT1) protein expression and investigation of ...
Stefan Petersen   +18 more
wiley   +1 more source

Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

open access: yesAdvanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen   +6 more
wiley   +1 more source

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

open access: yesAdvanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin   +8 more
wiley   +1 more source

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

open access: yesAdvanced Science, EarlyView.
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng   +9 more
wiley   +1 more source

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