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Author

Yu-Qi Zhao

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Open access Oct 2026

Machine Learning Regression-Enhanced Property Prediction of Brush Particle Solids

The development of advanced hybrid materials such as polymer-grafted nanoparticles (aka “brush” or “hairy” particles) hinges on the ability to accurately predict suitable compositions to realize desired functionalities. Such systems are characterized by expensive synthesis, sparse data, and large parameter spaces tha...

Kevin Ferguson, Ayesha Abdullah, Yu-Qi Zhao et al. · 0 citations
Open access Sep 2026

Mechanical Properties of Glassy Brush Particle Solids Featuring Chain Dispersity

The modification of nanoparticles with polymer chains has emerged as a versatile platform to enable hybrid particle building blocks that can be assembled into functional materials with controlled microstructure and enhanced mechanical or physical properties. Often, a combination of high inorganic loading and mechanical...

Ayesha Abdullah, Han-Shu Wu, Yu-Qi Zhao et al. · 0 citations

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