| Literature DB >> 30010321 |
Dominic P Goronzy1,2, Maryam Ebrahimi3, Federico Rosei3,4, Yuan Fang5, Steven De Feyter6, Steven L Tait7, Chen Wang8, Peter H Beton9, Andrew T S Wee10, Paul S Weiss1,2,11, Dmitrii F Perepichka1,5.
Abstract
Understanding how molecules interact to form large-scale hierarchical structures on surfaces holds promise for building designer nanoscale constructs with defined chemical and physical properties. Here, we describe early advances in this field and highlight upcoming opportunities and challenges. Both direct intermolecular interactions and those that are mediated by coordinated metal centers or substrates are discussed. These interactions can be additive, but they can also interfere with each other, leading to new assemblies in which electrical potentials vary at distances much larger than those of typical chemical interactions. Earlier spectroscopic and surface measurements have provided partial information on such interfacial effects. In the interim, scanning probe microscopies have assumed defining roles in the field of molecular organization on surfaces, delivering deeper understanding of interactions, structures, and local potentials. Self-assembly is a key strategy to form extended structures on surfaces, advancing nanolithography into the chemical dimension and providing simultaneous control at multiple scales. In parallel, the emergence of graphene and the resulting impetus to explore 2D materials have broadened the field, as surface-confined reactions of molecular building blocks provide access to such materials as 2D polymers and graphene nanoribbons. In this Review, we describe recent advances and point out promising directions that will lead to even greater and more robust capabilities to exploit designer surfaces.Entities:
Keywords: graphene nanoribbons; molecular electronics; on-surface polymerization; scanning tunneling microscopy; self-assembled molecular networks; supramolecular assemblies; two-dimensional polymers
Year: 2018 PMID: 30010321 DOI: 10.1021/acsnano.8b03513
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881