Results 211 to 220 of about 229,915 (358)

High‐Throughput Exfoliation of Optoelectronic‐Grade MoS2 via Turbulent‐Flow Wet Jet Milling

open access: yesAdvanced Functional Materials, EarlyView.
A scalable wet jet milling exfoliation method is demonstrated for producing optoelectronic‐grade MoS2 nanosheets using environmentally friendly ethyl cellulose in ethanol dispersion media. Guided by fluid dynamics modeling, this approach is optimized to achieve record‐high exfoliation throughput and concentration.
Maryam Khalaj   +7 more
wiley   +1 more source

Robotic Ultrasonic Testing

open access: diamond, 2017
Santhosh Ravichandran
openalex   +2 more sources

Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi   +3 more
wiley   +1 more source

Solvent Co‐Intercalation Enabled Ca Storage in MoS2 for Ca‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Regulating electrolyte solvation levels enables otherwise non‐intercalatable Ca2+ ions to reversibly co‐intercalate into molybdenum disulfide (MoS2) as ether‐solvated species. The intercalation reversibility is strongly governed by solvent chain length, as demonstrated using diethylene glycol dimethyl ether (G2) and tetraethylene glycol dimethyl ether (
Yudong Luo   +10 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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