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Shengchang Tang

Researcher at Massachusetts Institute of Technology

Publications -  18
Citations -  832

Shengchang Tang is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Self-healing hydrogels & Polymer. The author has an hindex of 14, co-authored 16 publications receiving 609 citations. Previous affiliations of Shengchang Tang include University of Colorado Boulder.

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Adaptable Fast Relaxing Boronate-Based Hydrogels for Probing Cell-Matrix Interactions.

TL;DR: Using human mesenchymal stem cells (hMSC) as a model, the fast relaxation matrix mechanics are found to promote cell–matrix interactions, leading to spreading and an increase in nuclear volume, and induce yes‐associated protein/PDZ binding domain nuclear localization at longer times.
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Anomalous Self-Diffusion and Sticky Rouse Dynamics in Associative Protein Hydrogels

TL;DR: This study experimentally demonstrates a hierarchy of relaxation processes in associating polymer networks, and it is anticipated that the results can be generalized to other associative systems to better understand the relationship of dynamics among sticky bonds, single molecules, and the entire network.
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Dynamic covalent hydrogels as biomaterials to mimic the viscoelasticity of soft tissues

TL;DR: This review highlights recent progress in synthetic biomaterials, particularly polymer networks that capture critical aspects of the dynamic mechanical properties of soft tissues by exploiting dynamic covalent chemistries.
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Antiviral Agents from Multivalent Presentation of Sialyl Oligosaccharides on Brush Polymers

TL;DR: Bioinspired brush polymers containing α-2,6-linked sialic acids at the side chain termini showed strain-selective antiviral activity through multivalent presentation of the sialosides and can be used as model systems to dissect the intricate design principles in natural mucins.
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Relaxation Processes in Supramolecular Metallogels Based on Histidine–Nickel Coordination Bonds

TL;DR: In this paper, a method to quantify the dissociation dynamics of stickers within the network environment where the stickers are covalently attached to polymers above their overlap concentration was proposed.