4.8 Article

Predictive modelling of structure formation in semiconductor films produced by meniscus-guided coating

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NATURE MATERIALS
卷 20, 期 1, 页码 68-75

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NATURE PORTFOLIO
DOI: 10.1038/s41563-020-0760-2

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  1. China Scholarship Council (CSC)
  2. European Union under the European Regional Development Fund [POIR.04.04.00-00-3ED8/17-01]

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Numerical simulations can predict the domain morphology of crystalline organic thin films formed by meniscus-guided coating, revealing how coating velocity and evaporation rate influence the crystalline domain size, shape anisotropy, and regularity. Experimental confirmation shows that fast coating results in isotropic domain structures while slow coating stretches domains in the coating direction. This model can be broadly applied to various materials beyond small molecular solutes.
Numerical simulations allow the prediction of domain morphology, from aligned to stretched and isotropic, in crystalline organic thin films formed by meniscus-guided coating, as a function of various deposition parameters. Meniscus-guided coating methods, such as zone casting, dip coating and solution shearing, are scalable laboratory models for large-area solution coating of functional materials for thin-film electronics. Unfortunately, the general lack of understanding of how the coating parameters affect the dry-film morphology upholds trial-and-error experimentation and delays lab-to-fab translation. We present herein a model that predicts dry-film morphologies produced by meniscus-guided coating of a crystallizing solute. Our model reveals how the interplay between coating velocity and evaporation rate determines the crystalline domain size, shape anisotropy and regularity. If coating is fast, evaporation drives the system quickly past supersaturation, giving isotropic domain structures. If coating is slow, depletion due to crystallization stretches domains in the coating direction. The predicted morphologies have been experimentally confirmed by zone-casting experiments of the organic semiconductor 4-tolyl-bithiophenyl-diketopyrrolopyrrole. Although here we considered a small molecular solute, our model can be applied broadly to polymers and organic-inorganic hybrids such as perovskites.

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