Results 121 to 130 of about 750,516 (288)

High‐Entropy Perovskite Nanofibers for Bifunctional Air Electrodes in Reversible Protonic Ceramic Electrochemical Cells

open access: yesAdvanced Functional Materials, EarlyView.
High‐entropy perovskite nanofibers serve as robust and active bifunctional air electrodes in reversible protonic ceramic electrochemical cells. Their compositional complexity stabilizes the lattice, enriches oxygen vacancies, and accelerates surface exchange.
Hyeonggeun Kim   +4 more
wiley   +1 more source

Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis

open access: yesAdvanced Functional Materials, EarlyView.
An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra   +8 more
wiley   +1 more source

Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models

open access: yesIEEE Access
Metal corrosion detection is essential for ensuring structural safety and minimizing economic losses. While deep learning (DL)-based image segmentation has improved corrosion detection accuracy and efficiency, its high computational demands hinder ...
Vincent F. Yu   +4 more
doaj   +1 more source

Molecular Cross‐Linking of MXenes: Tunable Interfaces and Chemiresistive Sensing

open access: yesAdvanced Functional Materials, EarlyView.
In this study, Ti3C2Tx MXenes are initially functionalized using oleylamine ligands to form stable dispersions in an organic solvent. Subsequently ligand exchange with α,ω‐diaminoalkanes enables cross‐linking, along with precise tuning of interfaces. This structural control translates into tunable charge transport and responsive VOC sensing, showing ...
Yudhajit Bhattacharjee   +12 more
wiley   +1 more source

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

open access: yesAdvanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee   +4 more
wiley   +1 more source

RVFL-Based Nonlinearity Compensation for MISO VLC Systems: Experimental Validation and Performance Analysis

open access: yesIEEE Access
Visible Light Communication (VLC) systems employing multiple Light-Emitting Diode (LED) transmitters face significant challenges from aggregate nonlinear distortions that degrade signal quality and limit practical deployment.
David Esteban Farfan-Guillen   +2 more
doaj   +1 more source

‘Oxygen Bound to Magnesium’ as High Voltage Redox Center Causes Sloping of the Potential Profile in Mg‐Doped Layered Oxides for Na‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Na‐ion batteries ‐ Impact of doping on the oxygen redox: The sloping potential of NaMg0.1Ni0.4Mn0.5O2 above 4.0 V is caused by a new redox center (arising from the ‘O bound to Mg’), having a higher potential but being more irreversible compared to the ‘O bound to Ni’.
Yongchun Li   +12 more
wiley   +1 more source

Single Solid‐State Ion Channels as Potentiometric Nanosensors

open access: yesAdvanced Functional Materials, EarlyView.
Single gold nanopores functionalized with mixed self‐assembled monolayers act as solid‐state ion channels for direct, selective potentiometric sensing of inorganic ions (Ag⁺). The design overcomes key miniaturization barriers of conventional ion‐selective electrodes by combining low resistivity with suppressed loss of active components, enabling robust
Gergely T. Solymosi   +4 more
wiley   +1 more source

SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation

open access: yesIEEE Access
Sparse matrix-sparse matrix multiplication (SpMSpM) is crucial in many fields such as scientific computing, sparse linear algebra, and machine learning due to its computational complexity in the large and extremely sparse datasets.
Gwanghwi Seo, Sungju Ryu
doaj   +1 more source

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