Print Email Facebook Twitter Efficient Steplike Carrier Multiplication in Percolative Networks of Epitaxially Connected PbSe Nanocrystals Title Efficient Steplike Carrier Multiplication in Percolative Networks of Epitaxially Connected PbSe Nanocrystals Author Kulkarni, A. (TU Delft ChemE/Opto-electronic Materials) Evers, W.H. (TU Delft BN/Technici en Analisten) Tomić, Stanko (University of Salford) Beard, Matthew C. (National Renewable Energy Laboratory) Vanmaekelbergh, Daniel (Debye Institute) Siebbeles, L.D.A. (TU Delft ChemE/Opto-electronic Materials) Date 2018 Abstract Carrier multiplication (CM) is a process in which a single photon excites two or more electrons. CM is of interest to enhance the efficiency of a solar cell. Until now, CM in thin films and solar cells of semiconductor nanocrystals (NCs) has been found at photon energies well above the minimum required energy of twice the band gap. The high threshold of CM strongly limits the benefits for solar cell applications. We show that CM is more efficient in a percolative network of directly connected PbSe NCs. The CM threshold is at twice the band gap and increases in a steplike fashion with photon energy. A lower CM efficiency is found for a solid of weaker coupled NCs. This demonstrates that the coupling between NCs strongly affects the CM efficiency. According to device simulations, the measured CM efficiency would significantly enhance the power conversion efficiency of a solar cell. Subject carrier multiplicationcharge carrier mobilitynanocrystal networkssolar cell efficiencyterahertz spectroscopy To reference this document use: http://resolver.tudelft.nl/uuid:46fb8df2-7066-492b-b560-deca45f033d1 DOI https://doi.org/10.1021/acsnano.7b06511 ISSN 1936-0851 Source ACS Nano (online), 12 (1), 378-384 Part of collection Institutional Repository Document type journal article Rights © 2018 A. Kulkarni, W.H. Evers, Stanko Tomić, Matthew C. Beard, Daniel Vanmaekelbergh, L.D.A. Siebbeles Files PDF acsnano.7b06511.pdf 3.69 MB Close viewer /islandora/object/uuid:46fb8df2-7066-492b-b560-deca45f033d1/datastream/OBJ/view