Results 191 to 200 of about 46,686 (310)

Non‐Equilibrium Synthesis of Whitlockite Assisted by Localized H2O Vapor Pressure

open access: yesAdvanced Science, EarlyView.
A carbon substrate acts as a microheater during intense pulsed light irradiation, enabling rapid heating and cooling for whitlockite formation. In contrast to conventional white ceramic synthesis with weak photothermal response, this platform concentrates thermal energy locally and promotes phase‐selective crystallization under ultrafast ...
Min‐Jung Kim   +5 more
wiley   +1 more source

Material‐Encoded Synchronization of Immunogenic Cell Death With Adenosine A2A Receptor Blockade Reprograms the Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
A bismuth–copper diselenide–based nanoplatform (BSCS@PHY) coordinates immunogenic cell death with local A2A receptor blockade in 4T1 tumors. Thermally triggered shell melting exposes catalytic surfaces for glutathione depletion and chemodynamic ROS generation, while co‐delivering an A2AR antagonist and yeast‐wall adjuvant to enhance dendritic‐cell ...
Xiangting Yi   +12 more
wiley   +1 more source

Effect of Microwave Irradiation at Different Stages of Manufacturing Unsaturated Polyester Nanocomposite. [PDF]

open access: yesPolymers (Basel), 2022
Shcherbakov A   +5 more
europepmc   +1 more source

Surface‐Spin‐Induced Magnetic Loss Enhancement in Ultralight Electromagnetic Absorbers

open access: yesAdvanced Science, EarlyView.
Fe3O4 nanoparticles with different hollow rates were synthesized to demonstrate the key role of surface moment in magnetic loss process. Using the same volume filling ratio, the 54.1% hollow Fe3O4 absorber represents about 20% enhancement in the imaginary part (μ'') than solid particles due to the coexisting magnetic resonance of inside and outside ...
Ruimin Ren   +5 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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