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Sub-diffraction Imaging of Carrier Dynamics in Halide Perovskite Semiconductors: Effects of Passivation, Morphology, and Ion Motion

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arxiv 2412.04423 v1 pith:EDJQPF3T submitted 2024-12-05 cond-mat.mtrl-sci cond-mat.mes-hall

classification cond-mat.mtrl-scicond-mat.mes-hall
keywords surfacedynamicscarrierpassivationpotentialrecombinationequilibrationfollowing
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We spatially resolve photocarrier dynamics in halide perovskites using time-resolved electrostatic force microscopy (trEFM) to map surface potential equilibration during photoexcitation. Following treatment with different surface passivation agents, we show that trEFM probes dynamics directly related to surface recombination velocity and carrier lifetimes correlated with time-resolved photoluminescence. Our results reveal nanoscale variations in recombination dynamics following surface passivation. We also observe heterogeneity in surface potential equilibration times dependent on perovskite film morphology. We combine wavelength- and intensity-dependent measurements with drift-diffusion simulations to disentangle the influence of carrier recombination and ion migration on surface potential equilibration. These results demonstrate that we can use mechanical detection to image electronic carrier recombination dynamics in perovskites below the optical diffraction limit while also showing the potential for future improvements in heterogeneity of surface passivation.

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Cited by 1 Pith paper

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  1. Multi-Output Convolutional Neural Network for Improved Parameter Extraction in Time-Resolved Electrostatic Force Microscopy Data

    cond-mat.mtrl-sci 2025-02 conditional novelty 5.0 of 10

    A multi-branch CNN fed with the trEFM frequency trace and cantilever parameters extracts bi-exponential kinetic parameters (τ1, τ2, A) more accurately and noise-robustly than the prior single-exponential neural network.

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