ALICE - light-Activated high-performance actuators by electrospinning of reversibly crosslinked LIquid CrystallinE networks

PRIN [2022-2024]

Abstract

Photoresponsive Liquid Crystalline Networks (LCNs) convert light into mechanical energy to realize reversible and complex shape changes, exploitable in soft robotics, actuators, surface haptics, photo-controlled microfluidic and artificial muscles. In this project, we will exploit photoresponsive LCNs processed by electrospinning. Together with traditional covalently crosslinked LCNs, new reshapable and reprocessable LCNs based on dynamic H-bonds will be developed.

Departmental scientific manager

Chiara Gualandi (Principal Investigator)

Partnership

Università di Firenze (Italy)
Università di Parma (Italy)