Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
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
The effect of student-led healthcare career experience activity on nursing students' professional commitment: Study protocol for a randomized cross-over trial. [PDF]
Yang S +5 more
europepmc +1 more source
A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang +8 more
wiley +1 more source
Association Between Weekly Moderate-to-Vigorous Physical Activity and Emotional Intelligence Factors in Spanish Adolescents: Perspectives for Digital and Gamified Interventions. [PDF]
Ruiz-Ariza A +3 more
europepmc +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
From Local Atomic Structure to X-ray Spectra: Absorber-Centric Machine-Learning Encoding. [PDF]
James Pope T +4 more
europepmc +1 more source
An Assisting Contact Electrification Strategy for Achieving Self‐Recoverable Mechanoluminescence
ABSTRACT Self‐recoverable mechanoluminescence (ML) is a unique property of materials that can stably emit light under repeated stress, enabling new applications in smart sensing, displays, and wearable devices. However, self‐recoverable ML is very rare and only observed in a few active phosphors excited by piezoelectricity or contact electrification ...
Jianwen Zhang +12 more
wiley +1 more source
Machine Learning in Non-fullerene Organic Solar Cells: Accelerating Discovery, Design, and Understanding. [PDF]
Das B, Mondal A.
europepmc +1 more source
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He +13 more
wiley +1 more source
Identifying vulnerable groups in academic burnout among higher education students: lifestyle and sociodemographic characteristic. [PDF]
Holm ME, Lahti J, Pohjola V, Parikka S.
europepmc +1 more source

