Self-Folding 3D/4D Printable Nanocomposites and ML-Guided Piezoelectric Materials

Stimuli-responsive polymer and nanocomposite materials are helpful in soft robotics and actuators. From thermoset-elastomers to nanocomposite materials, gradient structures with various transport (ion, electron-transfer, mass transport) behavior can influence actuation and even sensing. A class of shape memory materials based on polymers and nanocomposite have been studied but are often fabricated by formative manufacturing. In this talk, we focus on the materials composition and mechanism of the following: 1) self-folding or actuating non-lithographically patterned bi-layer objects, 2) 3D/4D Printing of nanocomposite materials containing carbon nanotubes (CNT) and graphene oxide (GO), and 3) Use of machine learning (ML) guided protocols to designing non-poled piezoelectric devices based on DIW 3D Printing of PVDF-nanocomposite composition. It is important to emphasize their contribution towards developing new materials for soft robotics and flexible electronics.