Results 131 to 140 of about 279,125 (254)

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

Regression and statistical analysis of heat transfer enhancement in water/ethylene glycol (40/60) base molybdenum carbide (Mo₂C) MXene nanofluid using a transient fractional model. [PDF]

Discov Nano
Sheikh NA, Ismail ZB, Khan I, Elnaggar GR, Teklu SW.   +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

Skeletal Muscle Mass Is Independently Associated With Water Turnover in Male Athletes. [PDF]

Scand J Med Sci Sports
Sagayama H, Tanabe Y, Uchizawa A, Khatun S, Shiose K, Tomiga-Takae R, Yasukata J, Higaki Y, Ohnishi T, Takahashi H, Yamada Y, Silva AM, Kondo E.   +12 more
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

Cover Vol. 47 No. 3, 2015

Journal of Mathematical and Fundamental Sciences, 2016
Journal of Mathematical and Fundamental Sciences
doaj  

New conditions for stability of multiple delayed Cohen-Grossberg Neural Networks of neutral-type. [PDF]

PLoS One
Ozcan N.
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

Cover Vol. 45, No. 2 (2013)

Journal of Mathematical and Fundamental Sciences, 2016
Journal of Mathematical and Fundamental Sciences
doaj  

Mathematical metacognition and computational thinking in adolescents: the roles of cognitive flexibility and grade level. [PDF]

Front Psychol
Bars M.
europepmc   +1 more source