Results 171 to 180 of about 54,055 (293)

Mechanistic Design of Graphdiyne‐Based Multimodal Sensing Integrating Machine Learning and Photothermal Dynamics for Precision Recognition and On‐Demand Inactivation

open access: yesAdvanced Science, EarlyView.
A triple‐mode theranostic platform enables integrated electrochemical, colorimetric, and photothermal detection of bacterial infection. Glucose oxidation triggers H2O2 generation and TMB oxidation to oxTMB, producing color and thermal signals under 808 nm NIR irradiation.
Jing Xu   +8 more
wiley   +1 more source

Chemical Structural Characteristics and Some Mechanical and Physical Properties of Thermally Modified Nothofagus alpina Thinning Wood from Three Different Silvicultural Conditions

open access: yesBioResources
Thermal modification processes are environmentally friendly methods used to improve certain properties of wood. Currently, wood from thinning of young plantations of Nothofagus alpina (raulí) in Chile is being evaluated to obtain value before the ...
Maximilian Wentzel   +4 more
doaj   +2 more sources

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

open access: yesAdvanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang   +3 more
wiley   +1 more source

Autonomous and Continuous Atmospheric Water Harvesting Using Modified Wood

open access: yesAdvanced Science, EarlyView.
A rigid, hydroxyl‐rich wood skeleton with graded channels is used as a multifunctional host to co‐incorporate a PNipam/PAA network and LiCl, creating a high‐performance sorbent for atmospheric water harvesting. The composite achieves rapid sorption, efficient low‐temperature desorption, and stable cycling, enabling a solar‐powered device with a high ...
Shiheng He   +7 more
wiley   +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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