Yu Xin Sun

A novel method for preparation of high-performance CNTs reinforced Cu matrix composites

Rongmao Du, Yu Xin Sun, Hongtao Zhang, Boyang Fu et autres

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Hydrogen spillover coupled with oxygen vacancy on Pd/WO3 drives highly efficient hydrodeoxygenation at 30 ℃

Yu Xin Sun, You Wang, Sai Mei Zhang

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Theoretical and Experimental Investigation on Microcosmic Surface Generation in Precision Grinding with Discrete Method

Yizun Chen, Yu Xin Sun

Surface topography of the workpiece created in precision grinding is influenced by not only key process parameters, but also the distribution characteristics of active abrasive grits on the surface of the grinding wheel, including the number of active grits in the contact …

Experimental studies and molecular dynamics simulations on the curing mechanism and performance of epoxy resin/polyurethane dual-crosslinked asphalt system

Wei Liao, Sheng Li, Haitao Zhang, Yaru Liu et autres

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The effect analysis of MRE’s component to the damper’s character based on the system dynamic model

Zhiyang Niu, Bing Chen, Yu Xin Sun, Ran Chen et autres

Abstract Magnetorheological elastomers (MREs) exemplify field-responsive smart materials where tunable damping emerges from magnetic-field-dependent interfacial slippage between carbonyl iron particles (CIP) and multi-walled carbon nanotubes (MWCNT). While critical for adaptive vibration control in reconfigurable robotics and aerospace actuators, current designs correlate component …

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Low-noise asphalt with rubber/fiber composites: Noise factor quantification and grey-correlation-guided optimization

Sheng Li, Haitao ZHANG, Qing Huo Liu, Yu Xin Sun et autres

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A quasi-static elasto-plastic adhesion (QEPA) contact model for feed powder compression

Wanfeng Sun, Yu Xin Sun, Xuze Wu, Xiaofei Dong et autres

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MDSF-YOLO: Advancing Object Detection With a Multiscale Dilated Sequence Fusion Network

Yu Xin Sun, Xuyang Jing, Hui Fang Kong, Qing‐Guo Wang

Accurate and fast detection of traffic signs is critical for autonomous driving, particularly in complex environments with diverse sign scales and varying detection distances. Existing approaches, incorporating attention modules or modifying detection heads, frequently encounter high rates of false positives and omissions …

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A Ridge Regression-Based Hybrid Model for Stock Index Forecasting

Yu Xin Sun, Yuxiao Jiang, Haonan Li

This study introduces an innovative stock index forecasting method that combines Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and Ridge Regression (RR) algorithms. CEEMDAN adaptively decomposes complex financial time series into intrinsic mode functions (IMFs) and a residual, capturing market …

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Single-machine setup time scheduling with general linear deterioration subject to makespan and total completion time minimization

Yu Xin Sun, Yuan-Yuan Lu, Dan‐Yang Lv, Ji-Bo Wang

This article explores single-machine scheduling with deteriorating jobs and past-sequence-dependent (p-s-d) setup times, where the processing time of a job is a general linear deterioration of its starting time. The goal is focuses on minimizing the makespan and total completion time. By …

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Mechanism-tailored two-dimensional metal nanosheets for advanced electrocatalytic CO2 reduction: from structural design to practical application

Zhijian Li, Deqing Kong, Yu Xin Sun, Yifan Shao et autres

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Cluster Density-Dependent Electronic Metal–Support Interactions in Rh/CeO 2 for Enhanced Styrene Hydroformylation

Xin Zhou, Weijiang Xu, You Wang, Yu Xin Sun et autres

Electronic metal–support interactions (EMSI) play a critical role in determining the performance of supported noble metal catalysts. While conventional strategies focus on modulating the size of noble metals or the properties of supports, the influence of the metal cluster density on EMSI …

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