Mitchell Maw, Benjamin J. Morgan, Erfan Dashtimoghadam, Yuan Tian, Egor A. Bersenev, Alina V. Maryasevskaya, Dimitri A. Ivanov, Krzysztof Matyjaszewski, Andrey V. Dobrynin, and Sergei S. Sheiko We unveil universal correlations between architectural parameters and nonlinear elastic properties of brush polymer networks. A comprehensive library of poly(n-butyl acrylate), poly(dimethylsiloxane), … Read more

Ryan Sayko, Michael Jacobs, and Andrey V. Dobrynin Knowledge of the interaction parameters for polymers in different solvents is crucial for exploring the viscoelastic properties and processing capabilities of polymer solutions. Here, we apply a scaling theory of semidilute polymer solutions … Read more

Shannon R. Petersen, Hannah Prydderch, Joshua C. Worch, Connor J. Stubbs, Zilu Wang, Jiayi Yu, Maria C. Arno, Andrey V. Dobrynin, Matthew L. Becker, Andrew P. Dove The remarkable elasticity and tensile strength found in natural elastomers are challenging to … Read more

Connor J. Stubbs, Joshua C. Worch, Hannah Prydderch, Zilu Wang, Robert T. Mathers, Andrey V. Dobrynin, Matthew L. Becker, and Andrew P. Dove Stereochemistry in polymers can be used as an effective tool to control the mechanical and physical properties of … Read more

Ryan Sayko, Michael Jacobs, and Andrey V. Dobrynin We apply a scaling theory of semidilute polymer solutions to quantify solution properties of polysaccharides such as galactomannan, chitosan, sodium carboxymethyl cellulose, hydroxypropyl methyl cellulose, methyl cellulose, xanthan, apple pectin, cellulose tris(phenyl … Read more

Michael Jacobs, Carlos G. Lopez, and Andrey V. Dobrynin We implemented a scaling approach, based on the relationship between the solution correlation length ξ = lgν/B and the number of repeat units per correlation blob g for polymers with repeat … Read more

Michael Jacobs, Heyi Liang, and Andrey V. Dobrynin Hybrid networks are made of different types of polymer strands, which could differ by their degrees of polymerization (DPs), chemical structure, or rigidity (Kuhn length). Examples of such networks include biological networks … Read more

Ryan Sayko, Yuan Tian, Heyi Liang, and Andrey V. Dobrynin Coarse-grained molecular dynamics simulations, random phase approximation (RPA) approach, and scaling analysis are used to study static and dynamic properties of concentrated polyelectrolyte solutions of positively charged chains with the … Read more

Andrey V. Dobrynin, Michael Jacobs, and Ryan Sayko Knowledge of interaction parameters and Kuhn length for a polymer/solvent pair is a foundation of polymer physics of synthetic and biological macromolecules. Here, we demonstrate how to obtain these parameters from the … Read more

Haley Starvaggi, Yuan Tian, Heyi Liang, and Andrey V. Dobrynin We use a combination of scaling analysis, random phase approximation (RPA) calculations, and coarse-grained molecular dynamics (MD) simulations to elucidate properties of graft polymers with a bimodal distribution of side … Read more