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• W2756222613 abstract "The electronic and optical properties of molecular semiconductor thin films are directly linked to nanoscale structural characteristics such as domain size and spatial distributions. For organic active layers used in technological applications, films are often prepared by solution-phase deposition techniques such as spin casting and solvent-based printing. Our current theoretical understanding of crystallization in quasi-two-dimensional liquid environments is unable to provide much insight, let alone predictive design guidance for tailoring films with specific nanostructural characteristics. Here, the authors introduce a comprehensive model treating solution-based film formation enabling quantitative prediction of domain formation rates, coverage, and spacing statistics and their dependence on experimental parameters. Excellent agreement is observed with measurements on polycrystalline tetracene films, leading to a set of general design rules enabling predictive morphological control in solution-processed molecular crystalline films." @default.
• W2756222613 created "2017-09-25" @default.
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• W2756222613 date "2017-09-11" @default.
• W2756222613 modified "2023-10-05" @default.
• W2756222613 title "Predictive modeling of nanoscale domain morphology in solution-processed organic thin films" @default.
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• W2756222613 doi "https://doi.org/10.1103/physrevmaterials.1.043404" @default.
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