Explores autonomously moving and assembling soft matter systems, focusing on hydrogel actuators, latch-mediated spring actuation, and self-spinning filament bundles.
Covers the use of machine learning to predict the mechanical properties of carbon nanotubes and their composites through multiscale characterization techniques.
Explores material lifecycle, properties, sustainability, and design, emphasizing the importance of auditing products for sustainability and discussing the evaluation of consumer products like LEGO.
Explores the engineering of intrinsic π-electron magnetism in carbon nanostructures, focusing on inducing magnetism in graphene and nanographenes through sublattice imbalance and topological frustration.