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4.5 HZB 10.5442/ND000006 Tillmann, Peter Peter Tillmann 0000-0001-5843-0407 Optics for Solar Energy, Helmholtz-Zentrum Berlin für Materialien und Energie, Albert-Einstein-Straße 16, 12489 Berlin Computational Nano Optics, Zuse Institute Berlin, Takustraße 7, 14195 Berlin Bläsi, Benedikt Benedikt Bläsi 0000-0003-1624-1530 Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstr. 2, 79110 Freiburg, Germany Burger, Sven Sven Burger 0000-0002-3140-5380 JCMwave GmbH, Bolivarallee 22, 14050 Berlin Computational Nano Optics, Zuse Institute Berlin, Takustraße 7, 14195 Berlin Hammerschmidt, Martin Martin Hammerschmidt 0000-0003-0291-1599 JCMwave GmbH, Bolivarallee 22, 14050 Berlin Computational Nano Optics, Zuse Institute Berlin, Takustraße 7, 14195 Berlin Höhn, Oliver Oliver Höhn 0000-0002-5991-2878 Fraunhofer Institute for Solar Energy Systems ISE, Heidenhofstr. 2, 79110 Freiburg, Germany Becker, Christiane Christiane Becker 0000-0003-4658-4358 Optics for Solar Energy, Helmholtz-Zentrum Berlin für Materialien und Energie, Albert-Einstein-Straße 16, 12489 Berlin Jäger, Klaus Klaus Jäger 0000-0002-6008-9559 Optics for Solar Energy, Helmholtz-Zentrum Berlin für Materialien und Energie, Albert-Einstein-Straße 16, 12489 Berlin Computational Nano Optics, Zuse Institute Berlin, Takustraße 7, 14195 Berlin HZB Data Service 2021 multi-junction solar cell optical simulations finite element method light trapping light management nanotextures metal grating 2021-06-22 Dataset 10.1038/s41560-018-0125-0 10.1117/12.2307831 10.1364/OE.426761 10.5281/zenodo.5013230 394.49 MiB application/zip Creative Commons Zero v1.0 Universal Multi-junction solar cells allow to utilize sunlight more effectively than single junction solar cells. In our work, we present optical simulations of III-V-on-silicon solar cells with a metal grating at the back, which experimentally have reached more than 33% power conversion efficiency. First, we perform simulations with the finite element method and compare them with experimental data to validate our model. We find that accurately modeling the investigated geometrical structure is necessary for best agreement between simulation and experimental measurements. Then, we optimize the grating for maximized light trapping using a computationally efficient Bayesian optimization algorithm. The photo current density of the limiting silicon bottom cell is improved from 13.48 mA/cm2 for the experimental grating to 13.85 mA/cm2 for the optimized metal grating. Investigation of all geometrical optimization parameters of the grating (period, height, …) shows that the structure is most sensitive towards the period, a parameter highly controllable in manufacturing by inference lithography. The data is provided as a ZIP archive containing the raw simulation results from FEM calculations for the backside grating and TMM calculations for the planar front side as well as EQE and reflection measurements of the experimental cells used as a benchmark. Please refer to the readme file included in the archive for details about the data structure. Python code is supplied under DOI:10.5281/zenodo.5013230 that allows to generate the figures in the Optics Express publication “Optimizing metal grating back reflectors for III-V-on-silicon multijunction solar cells.” from the simulation raw data. Helmholtz Association https://doi.org/10.13039/501100001656 ExNet-0042-Phase-2-3 Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS) :unas Federal Ministry for Economic Affairs and Energy https://doi.org/10.13039/501100006360 0324247 10.1038/s41560-018-0125-0 10.1117/12.2307831 10.1364/OE.426761 10.5281/zenodo.5013230