Results 181 to 190 of about 7,650 (259)

Novel Ensemble Prediction Framework for Fast and Accurate Phase Prediction in FeNiCoCrAlCu High‐Entropy Alloys by Integrating Data Augmentation and Interpretable Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
A physics‐informed machine learning framework is established for phase prediction in FeNiCoCrAlCu HEA. Limited experimental data are expanded through GMM‐based augmentation, followed by descriptor calculation, Pearson‐PCA feature optimization, stacking ensemble classification, and SHAP interpretation, enabling accurate phase identification and ...
Ruixiao Zhang   +5 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Semiconducting intermetallic compounds

open access: yesAdvances in Physics, 1956
L. Pincherle, J.M. Radcliffe
openaire   +2 more sources

Effect of Metal–Metal Distance on the Performance of Dual‐Atom Catalysts for the Oxygen Reduction Reaction: A Density Functional Theory and Micro‐kinetics Study

open access: yesSmall, EarlyView.
Density functional theory calculations and microkinetic modeling were carried out on 108 dual‐atom catalysts with varied metalmetal distances ranging from 2.2 to 3.5 Å. The results reveal that moderate spacing of around 3.0 Å promotes bridging oxygen adsorption and dissociative reduction pathways, weakens the hydroxylhydroperoxyl scaling relationship ...
Yu Mao   +7 more
wiley   +1 more source

Sodium‐Based Battery Component Design: Imitating Lithium or Forging New Paths?

open access: yesSmall, EarlyView.
This Perspective elucidates the decisive yet underexplored impact of cation chemistry, Na+ vs. Li+ charge carriers, on the design, selection, and formulation of their corresponding battery systems, addressing common misconceptions and the pitfalls of overreliance on Li+ design principles. Leveraging the unique characteristics of Na+, it comprehensively
Xingxing Wang   +13 more
wiley   +1 more source

Cross‐Scale Engineering of Single‐Atom Catalysts from Local Planar Coordination to Spatial Architectures

open access: yesSmall, EarlyView.
This Review presents a cross‐scale framework for single‐atom catalysts, spanning in‐plane and out‐of‐plane coordination; primary coordination, secondary‐sphere interactions, through‐space microenvironments and support interfaces; individual sites and macroscopic architectures; and static design and directed dynamic reconstruction.
Dazhi Yao   +4 more
wiley   +1 more source

Thermal Instability Pathways of Aluminum‐Based Nanocomposites: The Role of Alloying‐Element‐Driven Precipitation and Amorphous Interlayers

open access: yesSmall, EarlyView.
Thermal instability mechanisms governing novel Al‐based PVD/ALD nanocomposites are uncovered through synchrotron XRD, STEM, APT, and micromechanical testing. Temperature‐dependent crystallite evolution reveals a defined stability window before degradation dominates, offering new insight into the design of thermally robust, functional Al‐based ...
Hendrik C. Jansen   +10 more
wiley   +1 more source

Electroconductive MXene‐Thin‐Film‐Composite Membranes for Coupled Osmotic Concentration and PFAS Mineralization

open access: yesSmall, EarlyView.
An electroconductive MXene‐TFC membrane integrates osmotic dewatering with anodic oxidation to concentrate and mineralize PFOA at the membrane interface. The coupled AO‐PRO configuration accelerates degradation kinetics, achieves 99% rejection and up to 93% TOC removal, and lowers specific energy demand, offering a compact route for PFAS destruction ...
Afrouz Yousefi   +9 more
wiley   +1 more source

Robotic Palpation for Spatiotemporal Arterial Pulse Quantification and Mapping Using Multilevel Microdome‐Based Soft Pressure Sensors

open access: yesSmall, EarlyView.
This study presents the development of multilevel pressure‐sensitive layers replicated from liquid‐metal‐based structures for optimizing soft pressure sensors in robotic palpation. This approach enhances sensitivity and range for subtle arterial displacement detection.
Seong‐Min Im   +5 more
wiley   +1 more source

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