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Vincent M. Rotello

Researcher at University of Massachusetts Amherst

Publications -  797
Citations -  60364

Vincent M. Rotello is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Nanoparticle & Colloidal gold. The author has an hindex of 108, co-authored 766 publications receiving 52473 citations. Previous affiliations of Vincent M. Rotello include Eindhoven University of Technology & Indiana University.

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Book ChapterDOI

Nanocomposites Based on Hydrogen Bonds

TL;DR: In this paper, the authors describe the utilization of hydrogenbonds for modular self-assembly of nano-sized building blocks into two or three-dimensional aggregates and the precise control over their structural parameters and morphologies.
Journal ArticleDOI

The reversible complexation of a tetrathiafulavene functionalised self-assembled monolayer by cyclobis(paraquat-p-phenylene)

TL;DR: In this paper, the first redox controlled host-guest complexation of a tetrathiafulvalene functionalised self-assembled monolayer with the electron deficient tetracationic cyclophane, cyclobis(paraquat-p -phenylene) is reported.
Journal ArticleDOI

Flavin as a photo-active acceptor for efficient energy and charge transfer in a model donor-acceptor system.

TL;DR: A donor-acceptor dyad model system using a flavin moiety as a photo-active acceptor has been synthesized for an energy and photo-induced electron transfer study, implying the potential application of flavin as a novel acceptor molecule for photovoltaics.
Journal ArticleDOI

Flavin-based [2]rotaxanes.

TL;DR: The synthesis of flavin-stoppered hydrogen bonded [2]rotaxanes 1 and 2 is reported, and the electrochemically controllable properties of these systems in solution and for derivative 2, as an electropolymerized thin film are reported.
Journal ArticleDOI

Model systems for redox cofactor activity.

TL;DR: Numerous model studies of organic redox cofactor activity have appeared in the latter half of 1998 and the first half of 1999, and the application of computational methods are applied to increase the understanding of flavin-catalyzed, nicotinamide-catalystzed and quinone-Catalyzed redox processes.