Results 241 to 250 of about 40,791 (308)

Hierarchical Twin Networks Enable Exceptional Strength and Fracture Toughness in Titanium

open access: yesAdvanced Science, EarlyView.
A commercial‐purity titanium with hierarchical ultrafine twin structures delivers an exceptional combination of fracture toughness (KJIc) of 187 MPa·m1/2 and specific yield strength of 140 MPa·cm3·g−1, in which pre‐engineered high‐density twin boundaries stimulate massive and dislocations to blunt crack tip.
Xiao‐Wei Zou  
+3 more
wiley   +1 more source

Dislocation‐Mediated Lattice Distortion and Griffiths Phase Behavior in Melt‐Spun Ni2MnSb Ribbons

open access: yesAdvanced Science, EarlyView.
This figure illustrates how melt‐spinning introduces dislocations into Ni2MnSb Heusler alloys. TEM images reveal local lattice distortions and associated strain fields surrounding dislocations at a representative wheel speed. As wheel speed increases, these distortions promote the formation of ferromagnetic clusters within a paramagnetic matrix ...
Kun Wang   +11 more
wiley   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

open access: yesAdvanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee   +9 more
wiley   +1 more source

Hydrogel Stack‐Tailored Logics and High‐Fidelity Multimodal Sensors Promoted by Precisely Evaluated Ionic Migration

open access: yesAdvanced Science, EarlyView.
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen   +9 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

open access: yesAdvanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang   +10 more
wiley   +1 more source

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