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Author

M. Bockstaller

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3 papers indexed here

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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

Molecular Parameters Favoring Disordered Hyperuniformity in Brush Particle Materials

The concurrence of “single crystal-like” uniformity and isotropy of structure and properties is expected to endow disordered hyperuniform (DH) materials with novel property combinations that have fueled interest in DH hybrid materials as a platform for functional material design. For the example of poly(methyl acryla...

Jirameth Tarnsangpradit, Maryam Bagheri, Owen Chen 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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