Fushan Li

TL;DR: A non-destructive, inkjet-printable, artificial intelligence (AI)-decodable and unclonable security label based on random patterning of quantum dot inks is developed, and accompanied with an artificial intelligence decoding mechanism capable of authenticating the patterns.

TL;DR: The successful demonstration of the electricity-generating glove suggests a promising future for polyester/Ag nanowire/graphene core-shell nanocomposite-based smart e-textiles for real wearable electronic systems and self-powered clothing.

TL;DR: Kim et al. as discussed by the authors reviewed how nanocomposite materials that combine organic and inorganic materials are attractive for use in memory components and showed that hybrid organic-inorganic devices, such as a polymer matrix in which metal nanoparticles have been incorporated, are easy to make, cost-effective, mechanically flexible and efficient.

TL;DR: By carefully controlling the quantumdot ink composition and physicochemical properties, it is demonstrated that the viscosity, contact angle, and the three-phase contact line moving would affect the final morphology of the quantum dot film formed by inkjet printing.

TL;DR: The mimicking of classical conditioning, including acquisition, extinction, recovery, and generalization, can be efficiently achieved by using a single flexible memristor using Pavlov's dog as a model.