Scientists reported a new class of heteronanostructures they term axial superlattice nanowires, which allow large lattice-mismatch tolerance and thus vast material combinations.
Atomically thin materials are a promising alternative to silicon-based transistors; now researchers can connect them more efficiently to other chip elements.
Researchers use deep learning to reduce noise in the electrical current data collected from nanopores, which may lead to higher precision measurements when working with very tiny experiments or medical diagnostics.
