Results 121 to 130 of about 60,049 (256)

A Novel Quantification Method for High Voltage Structural Evolution in Sodium and Lithium Layered Oxides

open access: yesAdvanced Energy Materials, EarlyView.
High‐voltage cycling of layered alkali transition metal oxides in Li‐ and Na‐ion cells increases energy density but diminishes lifetime. A novel XRD‐analysis method, centered on the stacking factor “z”, is developed to quantify the stacking fractions in the OP hybrid structure.
Libin Zhang   +3 more
wiley   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

Highly Tough, Notch‐Insensitive, and Fast Self‐Healing Thermoplastic Polyurethane Elastomers by Tailored Soft Segment Design

open access: yesAngewandte Chemie, EarlyView.
Tailoring the molecular architecture of soft segments enables thermoplastic polyurethane elastomers to overcome the trade‐off between toughness, notch insensitivity, and self‐healing. Incorporation of α,ω‐hydroxyl end‐functionalized poly(2‐ethylhexyl acrylate) with bulky, flexible, low‐glass‐transition side chains suppress strain‐induced domain ...
Changhoon Yu   +5 more
wiley   +2 more sources

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Soft Artificial Ciliary Brush with Integrated Haptic Feedback for Efficient Airway Mucus Cleaning

open access: yesAdvanced Intelligent Systems, EarlyView.
A fundamental mucus cleaning mechanism is reported, which utilizes both artificial cilia mechanical sweeping and suction‐based mucus cleaning. A novel haptic feedback interface for the artificial cilia provides touch feedback on tissue contact, enhancing operator control and safety.
Zhongming Lyu   +7 more
wiley   +1 more source

Finite Element Analysis of Notch Sensitivity of PEEK under Monotonic Tension

open access: diamond, 2021
Muhammad Amir Khan   +4 more
openalex   +1 more source

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

open access: yesAdvanced Intelligent Systems, EarlyView.
Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to time‐resolved photodiode traces. A compact dual‐input 1D‐CNN (signal + laser parameters) learns discriminative spatiotemporal features and predicts “OK/NOK” surface ...
Marcelo Daniel Sallese   +4 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

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