Results 181 to 190 of about 37,474 (260)

Multi‐Axis Stretchable Zippers for Personalized Wound Healing

open access: yesAdvanced Science, EarlyView.
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai   +16 more
wiley   +1 more source

A new approach for fracture process zone evaluation

open access: yesTheoretical and Applied Fracture Mechanics
Ion Octavian Pop   +3 more
openaire   +1 more source

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

open access: yesAdvanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke   +4 more
wiley   +1 more source

Effect of Surface Texture on Bond Strength of GFRP Rebar in Concrete [PDF]

open access: yesMehran University Research Journal of Engineering and Technology, 2011
Riaz Ahmad Goraya   +2 more
doaj  

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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