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Benjamin D. Fairbanks

Researcher at University of Colorado Boulder

Publications -  46
Citations -  3739

Benjamin D. Fairbanks is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Polymer & Self-healing hydrogels. The author has an hindex of 18, co-authored 40 publications receiving 3027 citations. Previous affiliations of Benjamin D. Fairbanks include Howard Hughes Medical Institute & Commonwealth Scientific and Industrial Research Organisation.

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Photoinitiated polymerization of PEG-diacrylate with lithium phenyl-2,4,6-trimethylbenzoylphosphinate: polymerization rate and cytocompatibility.

TL;DR: A water soluble lithium acylphosphinate salt is evaluated for its ability to polymerize diacrylated poly(ethylene glycol) (PEGDA) monomers rapidly into hydrogels, while maintaining high viability during direct encapsulation of cells.
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A Versatile Synthetic Extracellular Matrix Mimic via Thiol‐Norbornene Photopolymerization

TL;DR: Step-growth, radically mediated thiol-norbornene photopolymerization is used to create versatile, stimuli-responsive poly(ethylene glycol)-co-peptide hydrogels that allow for the encapsulation of human mesenchymal stem cells with a viability greater than 95%.
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Thiol-Yne Photopolymerizations: Novel Mechanism, Kinetics, and Step-Growth Formation of Highly Cross-Linked Networks.

TL;DR: A tetrafunctional thiol was photopolymerized with a difunctional alkyne, forming an inherently higher cross-link density than an analogous thiol−ene resin, displaying a higher glass transition temperature and rubbery modulus.
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Photodegradable, Photoadaptable Hydrogels via Radical-Mediated Disulfide Fragmentation Reaction

TL;DR: This novel, but simple, approach to generate photoadaptable hydrogels portends the study of cellular response to mechanically and topographically dynamic substrates as well as novel encapsulations by the welding of solid substrates.
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Toward Stimuli-Responsive Dynamic Thermosets through Continuous Development and Improvements in Covalent Adaptable Networks (CANs)

TL;DR: Recent developments in covalent adaptable networks are discussed here with an emphasis on the most effective dynamic chemistries that render these materials to be stimuli responsive, enabling features that make CANs more broadly applicable.