Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.117
Publication date: 16th December 2024
Halide perovskite materials hold significant potential for solar energy and optoelectronic applications. However, enhancing their efficiency and stability necessitates addressing challenges related to lateral inhomogeneity. Photoluminescence imaging techniques are widely employed to measure their optoelectronic and transport properties1. While achieving high precision typically requires longer acquisition times, extended light exposure can significantly alter the perovskite layers due to their high reactivity, compromising data quality.
To address this issue, we propose a method to extract high-quality lifetime images from rapidly acquired, noisy time-resolved photoluminescence images2. Our approach leverages constrained reconstruction techniques, incorporating the Huber loss function and a specific form of Total Variation Regularization. This method effectively mitigates limitations imposed by local signal-to-noise ratios (SNR), allowing access to greater detail and features in the results. Through simulations and experimental validation, we demonstrate that our approach outperforms traditional pointwise techniques. Additionally, this analysis can be extended to determine the surface recombination rate, providing valuable insights for the advancement and optimization of halide perovskite materials. Furthermore, we identify optimal acceleration and optimization parameters tailored to decay time imaging of perovskite materials, offering novel perspectives for accelerated experiments essential to characterizing degradation processes.
Importantly, our methodology has broader applications. It can be extended to other beam-sensitive materials, various imaging characterization techniques, and more complex physical models for time-resolved decays.
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