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Sergey Gorelick

Publications and source records attributed to Sergey Gorelick.

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Atomic Structure of Grain Boundaries, Dislocations and Associated Strain in Templated Co-evaporated Photoactive Halide Perovskites

Structural defects, particularly grain boundaries, play a crucial role in governing charge transport and the optoelectronic properties of metal halide perovskites, thereby limiting the performance of devices. Solar cells incorporating templated FA0.9Cs0.1PbI3-xClx show significant improvements in grain orientation and steady-state power conversion efficiency; however, the underlying mechanisms remain unclear. In this study, we address this gap by employing a suite of tailored low-dose electron microscopy techniques to investigate the templated FA0.9Cs0.1PbI3-xClx film, revealing that it exhibits a preferred crystallographic orientation along the <001> zone axis, with arbitrary grain rotations about that axis, indicative of a Volmer-Weber growth mechanism. We determine the atomic structure of the resulting high-angle and low-angle grain boundaries. We also reveal the presence of edge dislocations and their associated strain fields, demonstrating the compressive strain on one side of the dislocation core and tensile strain on the opposite side. Furthermore, we find dislocations associated with stacking faults. These atomic-level insights uncover which grain boundaries and intra-grain defects are likely to act as recombination centres or modify band gaps, crucial for understanding which defects influence the performance of perovskite solar cell devices.

cond-mat.mtrl-sci

Juno: a Python-based graphical package for optical system design

This report introduces Juno, a modular Python package for optical design and simulation. Juno consists of a complete library that includes a graphical user interface to design and visualise arbitrary optical elements, set up wave propagation simulations and visualise their results. To ensure an efficient visualisation of the results, all simulation data are stored in a structured database that can filter and sort the output. Finally, we present a practical use case for Juno, where optical design and fabrication are interlaced in a feedback cycle. The presented data show how to compare the simulated and the measured propagation; if a difference or unexpected behaviour is found, we show how to convert and import the optical element profile from a profilometer measurement. The propagation through the profile can provide immediate feedback about the quality of the element and a measure of the effects brought by differences between the idealised and the actual profile, therefore, allowing to exclude the experimental errors and to weigh every aspect of fabrication errors.

physics.ins-det