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Data-Driven Framework for the Prediction of PEGDA Hydrogel Mechanics
Yongkui Tang
, Michal Levin
, Olivia G. Long
, Claus D. Eisenbach
,
Noy Cohen
, Megan T. Valentine
Materials Science & Engineering
Research output
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peer-review
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Keyphrases
Poly(ethylene glycol) Diacrylate (PEGDA)
100%
Data-driven Framework
100%
Hydrogel Mechanics
100%
Mechanical Properties
20%
Data-driven Approach
20%
High Strain
20%
Biocompatibility
20%
Processing Properties
20%
Compositional Properties
20%
Shear Modulus
20%
Complex Microstructure
20%
Elastic Modulus
20%
Mechanical Response
20%
Soft Materials
20%
Low Strain
20%
Biomedical Materials
20%
High-quality Data
20%
Triaxial Compression Test
20%
Synthesis Parameters
20%
Predictive Framework
20%
Photo-crosslinkable
20%
Experimental Guidelines
20%
Polymer Theory
20%
Various Applications
20%
Materials Application
20%
Strain-stiffening
20%
Material Science
Polyethylene Glycol
100%
Hydrogel
100%
Elastic Moduli
40%
Mechanical Property
20%
Polymer
20%
Materials Application
20%