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Xueying Tan

As seen in: Wiley Online Library, Royal Society of Chemistry
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Articles

Machine Learning Prediction of Tribological Properties of Graphene‐Reinforced Perfluoroelastomer Composites Based on Molecular Dynamics Simulations and Experimental Research

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By Shengbo Jin, Jing Zhao, Xueying Tan, Shouti South Road
| Wiley Online Library Verified
This study aims to develop high-performance polymer nanocomposites based on perfluoroelastomers (FFKM) using an integrated framework that combines molecular dynamics (MD) simulations, machine learning (ML), and experiments to investigate the factors governing tribological behavior. The friction coefficient shows negative correlations with temperature, normal load, and sliding velocity. Increasing the sliding velocity raises the average diffusion coefficient from 0.00422 to 0.04300.
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Correction: A mitochondria-targeted dual-functional aggregation-induced emission luminogen for intracellular mitochondrial imaging and photodynamic therapy

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By Yujie Zhang, Jinhui Wang, Wendi Huang, Xueying Tan
| Royal Society of Chemistry Verified
This article is Open Access Please wait while we load your content... Something went wrong. Try again?
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