Distance Dependence of Förster Resonance Energy Transfer Rates in 2D Perovskite Quantum Wells via Control of Organic Spacer Length
| Autor: | Stephen K. Gray, Justin M. Hoffman, Alexander O. Govorov, Lucas V. Besteiro, Shobhana Panuganti, Richard D. Schaller, Eugenia S. Vasileiadou, Mercouri G. Kanatzidis |
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| Rok vydání: | 2021 |
| Předmět: |
Photoluminescence
Chemistry Relaxation (NMR) General Chemistry 010402 general chemistry 01 natural sciences Biochemistry Acceptor Catalysis 0104 chemical sciences Colloid and Surface Chemistry Förster resonance energy transfer Chemical physics Quantum dot Ultrafast laser spectroscopy Charge carrier Quantum well |
| Zdroj: | Journal of the American Chemical Society. 143(11) |
| ISSN: | 1520-5126 |
| Popis: | Two-dimensional (2D) semiconductors are attractive candidates for a variety of optoelectronic applications owing to the unique electronic properties that arise from quantum confinement along a single dimension. Incorporating nonradiative mechanisms that enable directed migration of bound charge carriers, such as Forster resonance energy transfer (FRET), could boost device efficiencies provided that FRET rates outpace undesired relaxation pathways. However, predictive models for FRET between distinct 2D states are lacking, particularly with respect to the distance d between a donor and acceptor. We approach FRET in systems with binary mixtures of donor and acceptor 2D perovskite quantum wells (PQWs), and we synthetically tune distances between donor and acceptor by varying alkylammonium spacer cation lengths. FRET rates are monitored using transient absorption spectroscopy and ultrafast photoluminescence, revealing rapid picosecond lifetimes that scale with spacer cation length. We theoretically model these binary mixtures of PQWs, describing the emitters as classical oscillating dipoles. We find agreement with our empirical lifetimes and then determine the effects of lateral extent and layer thickness, establishing fundamental principles for FRET in 2D materials. |
| Databáze: | OpenAIRE |
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