The inherent trade-off between high-power and high beam quality has long been a critical technological challenge for high-power vertical-cavity surface-emitting lasers (VCSELs), fundamentally limiting their direct app...
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High-resolution non-emissive displays based on electrochromic tungsten oxides(WOx)are crucial for future near-eye virtual/augmented reality interactions,given their impressive attributes such as high environmental sta...
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High-resolution non-emissive displays based on electrochromic tungsten oxides(WOx)are crucial for future near-eye virtual/augmented reality interactions,given their impressive attributes such as high environmental stability,ideal outdoor readability,and low energy ***,the limited intrinsic structure of inorganic materials has presented a significant challenge in achieving precise patterning/pixelation at the micron ***,we successfully developed the direct photolithography for WOx nanoparticles based on in situ photo-induced ligand *** strategy enabled us to achieve ultra-high resolution efficiently(line width<4μm,the best resolution for reported inorganic electrochromic materials).Additionally,the resulting device exhibited impressive electrochromic performance,such as fast response(<1 s at 0 V),high coloration efficiency(119.5 cm^(2) C^(−1)),good optical modulation(55.9%),and durability(>3600 cycles),as well as promising applications in electronic logos,pixelated displays,flexible electronics,*** success and advancements presented here are expected to inspire and accelerate research and development(R&D)in high-resolution non-emissive displays and other ultra-fine micro-electronics.
In order to enhance defect recognition in time-of-flight diffraction (TOFD) scan images for circumferential welds of pipelines under conditions such as background signal interference and uneven sample distribution, an...
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Iron recovery from nickel slag, a significant byproduct generated during nickel pyrometallurgical process, represents a pivotal aspect of advancing sustainable utilization of metallurgical solid waste. This study expl...
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Structural and functional fatigue of shape memory alloys (SMAs) is of vital importance for their practical applications, but the fatigue of high entropy SMAs (HESMAs) has seldom been investigated. Here we developed a ...
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In the field of augmented reality (AR) displays, freeform holographic optical elements (HOEs) offer significant advantages, such as compactness, wavefront modulation for true 3D volumetric display, and high environmen...
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Anion-exchange membrane water electrolyzers(AEMWEs)for green hydrogen production have received intensive attention due to their feasibility of using earth-abundant NiFe-based *** introducing a third metal into NiFe-ba...
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Anion-exchange membrane water electrolyzers(AEMWEs)for green hydrogen production have received intensive attention due to their feasibility of using earth-abundant NiFe-based *** introducing a third metal into NiFe-based catalysts to construct asymmetrical M-NiFe units,the d-orbital and electronic structures can be adjusted,which is an important strategy to achieve sufficient oxygen evolution reaction(OER)performance in ***,the ternary NiFeM(M:La,Mo)catalysts featured with distinct M-NiFe units and varying d-orbitals are reported in this *** and theoretical calculation results reveal that the doping of La leads to optimized hybridization between d orbital in NiFeM and 2p in oxygen,resulting in enhanced adsorption strength of oxygen intermediates,and reduced rate-determining step energy barrier,which is responsible for the enhanced OER *** critically,the obtained NiFeLa catalyst only requires 1.58 V to reach 1 A cm^(−2) in an anion exchange membrane electrolyzer and demonstrates excellent long-term stability of up to 600 h.
Traditional method for evaluating the coefficient of friction (COF) of laser cladding high-entropy alloy (HEA) coatings, relying on extensive experiments, is costly and inefficient. To address these limitations, this ...
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Traditional method for evaluating the coefficient of friction (COF) of laser cladding high-entropy alloy (HEA) coatings, relying on extensive experiments, is costly and inefficient. To address these limitations, this study proposed an efficient machine learning (ML) approach. Random Forest, Gradient Boosting Decision Tree, and XGBoost models were developed as base models to predict the COF of HEA coatings. Feature engineering and a voting strategy were employed to enhance model accuracy and generalization ability, yielding substantial improvements in performance. The optimal model achieved a testing R 2 of 0.97. A satisfactory agreement was achieved between the predicted COFs and the experimental measurements as well as their trend. Additionally, the impact of each feature on the COF was clarified using SHAP (Shapley Additive Explanations). The results indicate that this ML approach is a promising tool for predicting the COF of HEA coatings and can serve as a valuable aid in the design and optimization of coatings.
Aqueous zinc-sulfur (Zn-S) batteries with high theoretical energy density and safety are largely characterized as promise candidate for energy storage systems. However, challenges such as sluggish redox kinetics, low ...
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In this study, B4C–TiB2 ceramics were prepared via reactive sintering using B4C–Ti as the raw material. By investigating the sintering curve, microstructures, and mechanical properties at different sintering tempera...
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