2023
DOI: 10.1021/acs.jpclett.3c00223
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Exploring the Relationship of Microstructure and Conductivity in Metal Halide Perovskites via Active Learning-Driven Automated Scanning Probe Microscopy

Abstract: Electronic transport and hysteresis in metal halide perovskites (MHPs) are key to the applications in photovoltaics, light emitting devices, and light and chemical sensors. These phenomena are strongly affected by the materials microstructure including grain boundaries, ferroic domain walls, and secondary phase inclusions. Here, we demonstrate an active machine learning framework for “driving” an automated scanning probe microscope (SPM) to discover the microstructures responsible for specific aspects of trans… Show more

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Cited by 14 publications
(11 citation statements)
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“…12k). 279 They implemented this approach in conductive AFM (cAFM) and successfully unraveled the relationship between microstructural elements ( e.g. grains, different GBs and GB junctions) and conductivity in metal halide perovskite (MHP) thin films.…”
Section: Structural Determination By Imagingmentioning
confidence: 99%
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“…12k). 279 They implemented this approach in conductive AFM (cAFM) and successfully unraveled the relationship between microstructural elements ( e.g. grains, different GBs and GB junctions) and conductivity in metal halide perovskite (MHP) thin films.…”
Section: Structural Determination By Imagingmentioning
confidence: 99%
“…Reproduced with permission. 279 Copyright 2023 American Chemical Society. (l) A general pump-probe geometry for diverse ultra-fast SPM techniques.…”
Section: Basic Principles and Strategiesmentioning
confidence: 99%
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