Results 151 to 160 of about 74,253 (260)

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

open access: yesAdvanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao   +7 more
wiley   +1 more source

Breaking the Bottleneck in Limit of Detection of Surface Refractive Index Sensing by Harnessing Meta‐Waveguide Microring Resonators

open access: yesAdvanced Science, EarlyView.
Mode splitting in meta‐waveguide microring resonators (MWMRs) effectively suppresses baseline drift and measurement noise while maintaining high refractive‐index sensitivity. This reflection‐induced mode splitting strategy enables quantitative detection of ultra‐weak surface perturbations and establishes MWMRs as a robust, drift‐immune platform for ...
Wanxin Li   +8 more
wiley   +1 more source

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

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

open access: yesAdvanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao   +3 more
wiley   +1 more source

Tailoring Successive Magnetic‐Dielectric Synergy for Enhancing Electromagnetic Absorption in Ultralong Heterostructure Chains Assisted by High Static Magnetic Field

open access: yesAdvanced Science, EarlyView.
This work proposes a high static magnetic field (HSMF) driven dual‐low‐dimension strategy for fabricating magnetic‐dielectric heterostructure (Fe3O4@MoS2) chains with programmable lengths. The constructed successive magnetic‐dielectric synergy, arising from uniaxial anisotropy‐enhanced magnetic response and abundant heterointerfaces that boost ...
Zhuolin Li   +5 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

Microsphere‐Modulated Sensing‐in‐Energy Supercapacitor With Self‐Filtering Ultra‐Large Signal Under High‐g Shocks

open access: yesAdvanced Science, EarlyView.
To overcome severe signal oscillation under extreme impact conditions, this work presents a Sensing‐in‐Energy microdevice which integrates a MEMS inertial structure directly within a supercapacitor electrolyte cavity. Utilizing shock‐driven transient contact and electrolyte damping for signal self‐filtering, it achieves weak‐oscillation, large ...
Zhihao Zheng   +7 more
wiley   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

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