Self-assembly of binary molecular nanostructure arrays on graphite
Literature Information
Jia Lin Zhang, Tian Chao Niu, Andrew T. S. Wee
The controlled positioning and assembly of functional molecules into ordered nanostructures on surfaces depends on the interplay of multiple interactions on different strength and length scales. On metal surfaces, the relatively strong molecule–substrate interactions can constrain the molecules to adsorb in registry with the surface periodicity and lock them into specific adsorption sites. This can significantly reduce the structural tunability of the molecular nanostructure arrays formed. Inert graphite has a smooth potential-energy surface as well as relatively weak interfacial interactions with adsorbed molecules, and is therefore chosen as a supporting substrate for constructing molecular nanostructures with a high degree of controllability and tunability. The aim of this article is to highlight recent progress in the fabrication of self-assembled molecular nanostructures on inert graphite surfaces in ultra-high vacuum, with particular emphasis on the role of intermolecular interactions in the self-assembly process. We describe the formation of tunable two-dimensional (2D) binary molecular networks by directional and selective hydrogen bonding, as well as the templating effect of these 2D molecular networks, demonstrating the rational design and construction of long-range ordered 2D molecular nanostructures with desired functionality.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.













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