Results 121 to 130 of about 94,253 (249)

The Effect of the Brain Breaks Physical Activity Program on Task Focus, Attentional Control, and Academic Achievement in 4th Grade Elementary School Students. [PDF]

Behav Sci (Basel)
Filiz B, Karaca Y, Konukman F, Sortwell A.   +3 more
europepmc   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Retraction Note: Mathematical modeling and computation of NM-polynomial indices for physicochemical properties prediction. [PDF]

Sci Rep
Tawhari QM, Naeem M, Koam ANA, Ahmad A, Oyelakin O.   +4 more
europepmc   +1 more source

Gate‐Tunable Floquet Weyl Photon Emission from Topological Dirac Semimetal Cd3As2

Advanced Materials, EarlyView.
We report experimental demonstration of Floquet band engineering in a 3D Dirac semimetal. Circularly polarized light breaks the time reversal symmetry and transforms Cd3As2 into a Floquet–Weyl phase, splitting Dirac nodes into chirality‐opposite Weyl nodes with nonzero Berry curvature.
Sobhan Subhra Mishra, Thomas CaiWei Tan, Manoj Gupta, Faxian Xiu, Ranjan Singh   +4 more
wiley   +1 more source

Food for thought? The effects of the Healthy Primary School of the Future on children's educational outcomes. [PDF]

PLoS One
van Engelen BHW, Hahnraths MTH, Winkens B, Schils T, van Schayck OCP.   +4 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A second-order dynamical system for solving inverse quasi-variational inequalities and its application. [PDF]

PLoS One
Gan T, Khan VK, Ahmad MK, Cai QB.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A phase-field model for vesicle membranes incorporating area-difference elasticity. [PDF]

PLoS Comput Biol
Liang Y, Celiker E, Lin P.
europepmc   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source