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20132026
most citedLearning physical properties of liquid crystals with deep convolutional neural networks

73 citations · 288 across the 10 of their papers we have counts for

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Showing 2019 · physics.data-anShow all

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physics.data-an2019★ 59 cited

Estimating physical properties from liquid crystal textures via machine learning and complexity-entropy methods

H. Y. D. Sigaki, R. F. de Souza, R. T. de Souza +2

Imaging techniques are essential tools for inquiring a number of properties from different materials. Liquid crystals are often investigated via optical and image processing method…