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Bradley P Sutliff

Showing results (1-10 of 5) with videos related to

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Carbohydrate Polymers|January 1, 2020
High shear capillary rheometry of cellulose nanocrystals for industrially relevant processingBradley P Sutliff, Arit Das, Jeffrey Youngblood, et al.
Carbohydrate Polymers|September 22, 2023
Flow induced attrition of cellulose nanocrystalsBradley P Sutliff, Connor Farrell, Stephen M Martin, et al.
ACS Macro Letters|May 26, 2022
Chemically Intractable No More: In Vivo Incorporation of "Click"-Ready Fatty Acids into Poly-[(<i>R</i>)-3-hydroxyalkanoates] in <i>Escherichia coli</i>Atahualpa Pinto, Jessica H Ciesla, Adriana Palucci, et al.
Frontiers in Bioengineering and Biotechnology|November 5, 2019
Gradient Poly(ethylene glycol) Diacrylate and Cellulose Nanocrystals Tissue Engineering Composite Scaffolds via Extrusion BioprintingBrody A Frost, Bradley P Sutliff, Patrick Thayer, et al.
ACS Polymers Au|February 16, 2026
Predicting Properties from Near-Infrared Spectra with Machine Learning for Improved Polyolefin DifferentiationShuaijun Li, Robert J S Ivancic, Bradley P Sutliff, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Carbohydrate Polymers|January 1, 2020
High shear capillary rheometry of cellulose nanocrystals for industrially relevant processingBradley P Sutliff, Arit Das, Jeffrey Youngblood, et al.
Carbohydrate Polymers|September 22, 2023
Flow induced attrition of cellulose nanocrystalsBradley P Sutliff, Connor Farrell, Stephen M Martin, et al.
ACS Macro Letters|May 26, 2022
Chemically Intractable No More: In Vivo Incorporation of "Click"-Ready Fatty Acids into Poly-[(<i>R</i>)-3-hydroxyalkanoates] in <i>Escherichia coli</i>Atahualpa Pinto, Jessica H Ciesla, Adriana Palucci, et al.
Frontiers in Bioengineering and Biotechnology|November 5, 2019
Gradient Poly(ethylene glycol) Diacrylate and Cellulose Nanocrystals Tissue Engineering Composite Scaffolds via Extrusion BioprintingBrody A Frost, Bradley P Sutliff, Patrick Thayer, et al.
ACS Polymers Au|February 16, 2026
Predicting Properties from Near-Infrared Spectra with Machine Learning for Improved Polyolefin DifferentiationShuaijun Li, Robert J S Ivancic, Bradley P Sutliff, et al.
Pageof 1