Compositional Transformation and Impurity‐Mediated Optical Transitions in Co‐Evaporated Cu2AgBiI6 Thin Films for Photovoltaic Applications
Advanced Energy Materials Wiley 14:8 (2024)
Minimizing Interfacial Recombination in 1.8 eV Triple‐Halide Perovskites for 27.5% Efficient All‐Perovskite Tandems
Advanced Materials Wiley 36:6 (2024) e2307743
Multifunctional ytterbium oxide buffer for perovskite solar cells
Nature Springer Nature 625:7995 (2024) 516-522
Abstract:
Perovskite solar cells (PSCs) comprise a solid perovskite absorber sandwiched between several layers of different charge-selective materials, ensuring unidirectional current flow and high voltage output of the devices. A ‘buffer material’ between the electron-selective layer and the metal electrode in p-type/intrinsic/n-type (p-i-n) PSCs (also known as inverted PSCs) enables electrons to flow from the electron-selective layer to the electrode. Furthermore, it acts as a barrier inhibiting the inter-diffusion of harmful species into or degradation products out of the perovskite absorber. Thus far, evaporable organic molecules and atomic-layer-deposited metal oxides have been successful, but each has specific imperfections. Here we report a chemically stable and multifunctional buffer material, ytterbium oxide (YbOx), for p-i-n PSCs by scalable thermal evaporation deposition. We used this YbOx buffer in the p-i-n PSCs with a narrow-bandgap perovskite absorber, yielding a certified power conversion efficiency of more than 25%. We also demonstrate the broad applicability of YbOx in enabling highly efficient PSCs from various types of perovskite absorber layer, delivering state-of-the-art efficiencies of 20.1% for the wide-bandgap perovskite absorber and 22.1% for the mid-bandgap perovskite absorber, respectively. Moreover, when subjected to ISOS-L-3 accelerated ageing, encapsulated devices with YbOx exhibit markedly enhanced device stability.DATASET FOR: Disentangling the origin of degradation in perovskite solar cells via optical imaging and Bayesian inference.
University of Oxford (2024)
Abstract:
Here we deposit the data and code necessary to generate the analysis found in our work. We have included: Simulation output from drift diffusion simulations; Photoluminescence imaging data (in a semi-raw and processed format); Outputs from our Bayesian analysis combining the two; and a clone of the code (from our public git repo) used to generate the analysis.Buried‐Metal‐Grid Electrodes for Efficient Parallel‐Connected Perovskite Solar Cells
Advanced Materials Wiley 36:2 (2024) e2305238