Results 101 to 110 of about 165,977,978 (255)

A Microenvironment‐Adaptive Scaffold Rejuvenates Peripheral Nerve Regeneration During Aging Via Dual Modulation of Ferroptotic Stimuli in Schwann Cells

open access: yesAdvanced Science, EarlyView.
(i) Aging impairs peripheral nerve regeneration via its dual ferroptosis‐mediated pathologies in senescent schwann cells. (ii) The composite nerve conduit is a symbiosis niche integrating microenvironment‐responsive nanoparticles (Ga‐PTAs) and maxillofacial‐derived mesenchymal stem cells (Mmscs).
Ning Zhan   +12 more
wiley   +1 more source

On the local H\"older boundary smoothness of an analytic function in the unit ball compared with the smoothness of its modulus [PDF]

open access: yes, 2019
Local boundary smoothness of an analytic function f on the unit ball of C^n is compared to the smoothness of its modulus. We prove that different conditions imposed on the zeros of f imply different drops of the smoothness.
Vasilyev, Ioann
core   +1 more source

Elastomeric Core‐Conductive Shell Slurry Additive Stabilizes High‐Voltage NCM811 Cathodes via Mechanical‐Electrical Dual Regulation

open access: yesAdvanced Science, EarlyView.
A core‐shell ASA slurry additive constructs a mosaic‐like interface on high‐voltage NCM811 cathodes. This architecture decouples interfacial functions: the elastomeric core buffers mechanical stress to prevent microcracking, while the conductive shell facilitates rapid ion/electron transport, enabling mechanical‐electrical dual regulation and enhanced ...
Jiamin Duan   +16 more
wiley   +1 more source

Programmable Information Processing With Reconfigurable Self‐Contact Variable Stiffness Mechanical Metamaterial

open access: yesAdvanced Science, EarlyView.
Reconfigurable self‐contact variable stiffness metamaterials based on shape memory polymers enable programmable stiffness switching. Static arrays store and encrypt information with immunity to electromagnetic interference, while asymmetric stiffness converts symmetric vibration into directional matter transport.
Huadong Qin   +7 more
wiley   +1 more source

Cross‐scale Material‐Structure Synergy for 2D Metamaterials: Toward Customizable Intelligent Electromagnetic Manipulation in Multiphysics Fields

open access: yesAdvanced Science, EarlyView.
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang   +5 more
wiley   +1 more source

Stretchable Energy Storage with Eutectic Gallium Indium Alloy

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A highly stretchable liquid metal‐based electrode is developed via a one‐step process, retaining conductivity and capacitance after mechanical deformation up to 900% strain. The stretchable all‐solid‐state device provides a areal energy density of 43 µWh cm⁻2 after 150% strain.
Adit Gupta   +6 more
wiley   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi   +3 more
wiley   +1 more source

A characterization of a modulus of smoothness in multidimensional setting

open access: yes, 2011
A classical result of approximation theory states that the modulus of smoothness of a function f (omega(f,delta)), defined by means of the variation functional, converges to 0 as delta tends to 0 from the right if and only if f is absolutely continuous ...
ANGELONI, Laura
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Home - About - Disclaimer - Privacy