Security labels produced by nondeterministic processes
are a promising
platform to shield counterfeiting. Here, we demonstrate the design
of a physically unclonable anticounterfeiting label made of clusters
of Mie-resonant silicon nanoparticles (NPs) fabricated by the laser-induced
forward transfer technique. The number and relative position of clusters
form the first security level authenticated by a smartphone with a
macro lens. The enhanced optical response from the resonant NPs provides
an opportunity to create additional laboratory security levels. These
levels are based on spatial and chromatic coordinates as well as NP
crystallinity, generating unique cluster fingerprints. The K-means
clustering method utilized for the NP dark-field image processing
makes it possible to achieve an encoding capacity of 10240000 for a 1000 × 500 pixel image. The widespread material, high-throughput
fabrication, and multilevel security make a perfect set for label
application in security and tracking of different items from consumer
goods to art objects.
Theoretical approaches have been used to analyze the
effectiveness
of various ions in increasing the electrochemical potential window
of aqueous electrolytes. The analysis results were used to select
the most promising ions for potential electrolytes. Taking into account
the theoretical estimates, the electrochemical stability and composition
of aqueous superconcentrated electrolytes were investigated by experimental
methods. As a result, the saturated 12 m sodium propionate solution
and new formate eutectic 7.6 m LiOOCH +39.5 m KOOCH were selected.
These electrolytes demonstrate high electrical conductivity and a
potential window reaching 3 V, with fewer dissolved salts than in
the acetate eutectics and other systems popular in literature. A formate
eutectic and sodium propionate solution can be used as electrolytes
for aqueous batteries and supercapacitors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.