Apr 9, 2025
11:15am - 11:30am
Summit, Level 4, Room 446
Rigoberto Advincula1
The University of Tennessee/Oak Ridge National Laboratory1
There is a demand for high-performance renewable, natural, and bio-based polymers that rival commodity plastic performance metrics. From miscanthus grass, abaca fibers, chitin, and coconut coir to carrageenan, gum guar, and alginate sources, the key is determining their ability to form synergistic blends and composites. Determining the structure-composition-processing-property (SCPP) relationship is key to materials to optimize properties translation. By adding nanomaterials as composite feedstocks, the nanostructuring of high-aspect-ratio fibers and nanoparticles with non-covalent interactions determines efficiencies in compatibilizations. These"optimization" protocols often unlock their true techno-economic value rather than simply using them to"replace the plastic". The use of AI/ML strategies is emphasized as a method of improving optimization for additive manufacturing. In this talk, we will describe strategies and projects where we have focused on preparing nanocomposites for high-value applications with coatings and 3D printing. Examples that will be described include: 1) nanocellulose - nanocrystals with various dispersions in photopolymerizable resins, 2) hydrogel metal precursors, and 3) polyelectrolyte-biopolymer complexes in 3D/4D printing.