Results 161 to 170 of about 26,906 (290)

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang   +5 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Apatite saturation revisited: new model formulations and applications to igneous rocks. [PDF]

open access: yesContrib Mineral Petrol
Klein BZ   +3 more
europepmc   +1 more source

An Energy Autonomous Microneedle Array‐Based Sensing System for Continuous Biomarker Monitoring

open access: yesAdvanced Science, EarlyView.
This work presents an innovative self‐powered wearable biosensor system for real‐time monitoring of multiple biomarkers in interstitial fluid. The device integrates stainless steel‐based minimally invasive microneedles with ion‐selective membranes, enabling simultaneous Na+, K+, Ca2+, pH, and glucose detection.
Arnab Pal   +9 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

Review of Radiation Embrittlement of Aluminum Alloys Used in Research Reactors. [PDF]

open access: yesMaterials (Basel)
Gillemot F   +4 more
europepmc   +1 more source

Enhancing Blood Circulation With Epsilon‐Near‐Zero (ENZ) Materials via the Far‐Infrared Window of Human Skin

open access: yesAdvanced Science, EarlyView.
Epsilon‐near‐zero (ENZ) silicon carbide enables a selective far‐infrared emitter spectrally aligned with the human skin window around 10 µm for wavelength‐matched thermal therapy. In 25 within‐subject trials (50 hands) monitored by laser speckle contrast imaging, SiC increases blood perfusion by 30.2% versus a broadband graphite emitter while ...
Wen‐Teng Yao   +3 more
wiley   +1 more source

Elucidating Surface Adsorption of Lithium Ions on Electrode Materials Using <sup>7</sup>Li Dark-State Exchange Saturation Transfer NMR Spectroscopy. [PDF]

open access: yesJ Am Chem Soc
Schwartz S   +8 more
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

open access: yesAdvanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu   +11 more
wiley   +1 more source

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