SOURCE-LINKED INTELLIGENCE
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
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
Read original source ↗ Open in workspace
- recordType
- award
- region
- US
- value
- 1643000
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:26.698Z. This is not the publication date.