Results 161 to 170 of about 8,919 (266)

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

open access: yesAdvanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li   +5 more
wiley   +1 more source

Highly Vertically Oriented Graphene Microstrip Pads With Ultrahigh Through‐Plane Thermal Conductivity and Ultralow Compressive Modulus for Efficient Heat Dissipation

open access: yesAdvanced Science, EarlyView.
Vertically aligned graphene microstrip pads (GMPs) break the traditional thermomechanical trade‐off in thermal interface materials. It simultaneously achieves an ultrahigh through‐plane thermal conductivity of 565.92 W m−1 K−1 and an ultralow compressive modulus below 115.16 kPa.
Xu Ran   +7 more
wiley   +1 more source

Quality control of opportunistic multi-energy CT bone mineral density quantification. [PDF]

open access: yesRadiol Phys Technol
Thompson EA   +5 more
europepmc   +1 more source

Precision Lignocellulosic Biorefinery: Process Regulation From Corn Stover to Products

open access: yesAdvanced Science, EarlyView.
This study presents a precision biorefinery framework that transforms corn stover into high‐value bioproducts through whole‐process regulation. Mechanical fractionation separates feedstock into parenchyma‐rich short fibers and vascular‐bundle‐dominant long fibers.
Xue‐Cheng Lin   +4 more
wiley   +1 more source

Island influences on plant functional traits and trait-trait associations across species- and community-scales. [PDF]

open access: yesNew Phytol
Song Y   +8 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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