Results 211 to 220 of about 132,128 (305)

Wide Temperature Zero Thermal Expansion in Al Matrix Composites with High Thermal Conductivity

open access: yesAdvanced Science, EarlyView.
Strain engineering strategy is implemented on the negative thermal expansion (NTE) phase Zn1.6Mg0.4P2O7 within composites, where Al matrix‐induced compressive strain drives uniform polyhedral and unit cell evolution, thereby enabling broad and consistent thermal compensation efficacy and obtaining good thermal performance.
Jinrui Qian   +14 more
wiley   +1 more source

Architecture‐Controlled Hierarchical Carbon‐Based Current Collector for Mitigating Interfacial Instabilities in Lithium‐Metal Anodes

open access: yesAdvanced Science, EarlyView.
A defect‐engineered, hierarchically porous carbon black/CNT current collector guides lithiophilic nucleation in 3D architecture. Steam‐created defects enable uniform Li plating, while CNTs provide conductivity and a lightweight framework, suppressing dendrites and side reactions for stable anode‐free cells.
Seo Hui Kang   +3 more
wiley   +1 more source

An advanced TMR sensor-based magnetrode for in vivo LFP magnetic field recording. [PDF]

open access: yesMicrosyst Nanoeng
Wang Y   +7 more
europepmc   +1 more source

Selective guide to literature on aerospace engineering

open access: yes, 1997
De Petro, Thomas G., Naylor, Ted E.
core  

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

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

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