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Dive into the research topics where Michelle K. Sing is active.

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Featured researches published by Michelle K. Sing.


Journal of Chemical Physics | 2017

Mechanical response of transient telechelic networks with many-part stickers

Michelle K. Sing; Jorge Ramirez; Bradley D. Olsen

A central question in soft matter is understanding how several individual, weak bonds act together to produce collective interactions. Here, gel-forming telechelic polymers with multiple stickers at each chain end are studied through Brownian dynamics simulations to understand how collective interaction of the bonds affects mechanical response of the gels. These polymers are modeled as finitely extensible dumbbells using an explicit tau-leap algorithm and the binding energy of these associations was kept constant regardless of the number of stickers. The addition of multiple bonds to the associating ends of telechelic polymers increases or decreases the network relaxation time depending on the relative kinetics of association but increases both shear stress and extensional viscosity. The relationship between the rate of association and the Rouse time of dangling chains results in two different regimes for the equilibrium stress relaxation of associating physical networks. In case I, a dissociated dangling chain is able to fully relax before re-associating to the network, resulting in two characteristic relaxation times and a non-monotonic terminal relaxation time with increasing number of bonds per polymer endgroup. In case II, the dissociated dangling chain is only able to relax a fraction of the way before it re-attaches to the network, and increasing the number of bonds per endgroup monotonically increases the terminal relaxation time. In flow, increasing the number of stickers increases the steady-state shear and extensional viscosities even though the overall bond kinetics and equilibrium constant remain unchanged. Increased dissipation in the simulations is primarily due to higher average chain extension with increasing bond number. These results indicate that toughness and dissipation in physically associating networks can both be increased by breaking single, strong bonds into smaller components.


Soft Matter | 2015

Celebrating Soft Matter's 10th Anniversary: Chain configuration and rate-dependent mechanical properties in transient networks†

Michelle K. Sing; Zhen-Gang Wang; Gareth H. McKinley; Bradley D. Olsen


Accounts of Chemical Research | 2016

Classical Challenges in the Physical Chemistry of Polymer Networks and the Design of New Materials

Rui Wang; Michelle K. Sing; Reginald K. Avery; Bruno S. Souza; Minkyu Kim; Bradley D. Olsen


Macromolecules | 2018

Influence of End-Block Dynamics on Deformation Behavior of Thermoresponsive Elastin-like Polypeptide Hydrogels

Michelle K. Sing; Wesley R. Burghardt; Bradley D. Olsen


Bulletin of the American Physical Society | 2018

Relating Monomer Sequence, Self-Assembly and Mechanical Response in Dual Associative Protein Hydrogels

Bradley D. Olsen; Michelle K. Sing; Matthew J. Glassman; Wesley R. Burghardt


Soft Matter | 2017

Structure and rheology of dual-associative protein hydrogels under nonlinear shear flow

Michelle K. Sing; Matthew J. Glassman; Xenanthia T. Vronay-Ruggles; Wesley R. Burghardt; Bradley D. Olsen


Journal of Polymer Science Part B | 2017

Self-Assembly of Poly(vinylpyridine- b -oligo(ethylene glycol) methyl ether methacrylate) Diblock Copolymers

Charlotte Stewart-Sloan; Rui Wang; Michelle K. Sing; Bradley D. Olsen


Bulletin of the American Physical Society | 2016

Capturing dissipation and adhesion using transient network theory

Michelle K. Sing; Gareth H. McKinley; Bradley D. Olsen


Bulletin of the American Physical Society | 2016

Imparting large macroscopic changes with small changes in polypeptide composition

Michelle K. Sing; Gareth H. McKinley; Bradley D. Olsen


Bulletin of the American Physical Society | 2015

Importance of chain tumbling and finite extension on the start-up and relaxation behavior of transient networks

Michelle K. Sing; Zhen-Gang Wang; Gareth H. McKinley; Bradley D. Olsen

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Bradley D. Olsen

Massachusetts Institute of Technology

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Gareth H. McKinley

Massachusetts Institute of Technology

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Zhen-Gang Wang

California Institute of Technology

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Matthew J. Glassman

Massachusetts Institute of Technology

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Rui Wang

Massachusetts Institute of Technology

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Bruno S. Souza

Massachusetts Institute of Technology

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Charlotte Stewart-Sloan

Massachusetts Institute of Technology

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Minkyu Kim

Massachusetts Institute of Technology

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Reginald K. Avery

Massachusetts Institute of Technology

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