Results 211 to 220 of about 283,214 (276)

Giant Magnetocaloric Effect in a Honeycomb Spiral Spin‐Liquid Candidate

open access: yesAdvanced Science, EarlyView.
The frustrated honeycomb‐lattice single‐crystal GdZnPO, a spiral spin‐liquid (SSL) candidate, exhibits a giant magnetocaloric effect (with a large Grüneisen parameter Γm = 4.4 T−1) and exceptional cooling performance near the crossover magnetic field (Hc), surpassing other known magnetocaloric materials.
Yuqian Zhao   +4 more
wiley   +1 more source

Tailored Electro–Magnetic–Porous Multigradient Nanoarchitectonics for Absorption‐Dominated Electromagnetic Interference Shielding and Adaptive Multifunctionality

open access: yesAdvanced Science, EarlyView.
An electro–magnetic–porous multigradient nanofibrous electromagnetic interference (EMI) membrane is fabricated via shear‐induced in situ fibrillation and layer‐by‐layer assembly. Leveraging a multigradient‐induced “impedance matching–polarization–reabsorption” synergistic mechanism, the membrane achieves absorption‐dominated high‐efficiency EMI ...
Runze Shao   +5 more
wiley   +1 more source

An Opto‐Bio‐Hydrodynamic Platform for Instructing Cardiac Left‐Right Asymmetry Development

open access: yesAdvanced Science, EarlyView.
By establishing mechanistic links among optically tuned ciliary dynamics, flow‐mediated signaling, and organ asymmetry, a multifunctional Opto‐Bio‐Hydrodynamic platform is developed to modulate ciliary motion with the programmable near infrared light for instructing cardiac left‐right asymmetry development in a spatiotemporally controlled manner, which
Haifeng Qin   +8 more
wiley   +1 more source

Topological Properties of International Commodity Market: How Uncertainty Affects the Linkages?

open access: yesAgribusiness, EarlyView.
ABSTRACT The study aims to explore the network topology of the international commodity market by examining the interconnections among 21 commodity futures across various categories, including energy, precious and industrial metals, and agriculture. We analyze the market structure of these commodity futures under both low and high uncertainty conditions
Ibrahim Yagli, Bayram Deviren
wiley   +1 more source

Machine Learning for Organic Fluorescent Materials

open access: yesAggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong   +7 more
wiley   +1 more source

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