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DMREF: MACHINE LEARNING-ENHANCED DESIGN AND SCALABLE MANUFACTURING OF ARCHITECTED HYDROGEL COMPOSITES WITH TUNABLE PROPERTIES -NON-TECHNICAL DESCRIPTION: THIS DMREF PROJECT FOCUSES ON THE SYNTHESIS, ASSEMBLY, AND MODELIN

USAspending · observation · Publication date unknown

DMREF: MACHINE LEARNING-ENHANCED DESIGN AND SCALABLE MANUFACTURING OF ARCHITECTED HYDROGEL COMPOSITES WITH TUNABLE PROPERTIES -NON-TECHNICAL DESCRIPTION: THIS DMREF PROJECT FOCUSES ON THE SYNTHESIS, ASSEMBLY, AND MODELING OF HYDROGEL MATERIALS THAT EXHIBIT TUNABLE FLOW BEHAVIOR AND MECHANICS DURING APPLIED SHEAR AND QUIESCENT CONDITIONS, RESPECTIVELY. THE SOFT MATERIALS UNDER STUDY ARE OF INTEREST FOR IN SITU TRANSCATHETER BIOPRINTING, AN EMERGING BIOFABRICATION METHOD UNDER DEVELOPMENT FOR INFILLING PATIENT-SPECIFIC TISSUE DEFECTS WITHOUT OPEN SURGICAL INTERVENTION. BY INTEGRATING ARTIFICIAL

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recordType
award
region
US
value
1643000
unit
USD

Evidence & attribution

First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.