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Liquid Crystals Volume 50, 2023 - Issue 7-10: In memoriam Maria Teresa Cidade, 28th International Liquid Crystal Conference (ILCC 2022); Guest editors: Maria Helena Godinho, Susete Nogueira Fernandes and Pedro Lúcio Almeida
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Mathematical Modelling, Symmetry and Topology

Testing different supervised machine learning architectures for the classification of liquid crystals

Ingo DierkingDepartment of Physics and Astronomy, The University of Manchester, Manchester, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8107-1342
ORCID Icon,
Jason DominguezDepartment of Physics and Astronomy, The University of Manchester, Manchester, UK
,
James HarbonDepartment of Physics and Astronomy, The University of Manchester, Manchester, UK
&
Joshua HeatonDepartment of Physics and Astronomy, The University of Manchester, Manchester, UK
Pages 1461-1477 | Received 05 Feb 2023, Published online: 07 Jun 2023

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Natalia Osiecka-Drewniak, Anna Drzewicz & Ewa Juszyńska-Gałązka. (2024) Machine learning studies for liquid crystal texture recognition. Liquid Crystals 51:2, pages 255-264.
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Articles from other publishers (6)

Natalia Osiecka-Drewniak, Aleksandra Deptuch, Magdalena Urbańska & Ewa Juszyńska-Gałązka. (2024) A Siamese neural network framework for glass transition recognition. Soft Matter 20:10, pages 2400-2406.
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Haijie Ren, Weiqiang Wang, Wentao Tang & Rui Zhang. (2024) Machine eye for defects: Machine learning-based solution to identify and characterize topological defects in textured images of nematic materials. Physical Review Research 6:1.
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Anastasiia Piven, Darina Darmoroz, Ekaterina Skorb & Tetiana Orlova. (2024) Machine learning methods for liquid crystal research: phases, textures, defects and physical properties. Soft Matter 20:7, pages 1380-1391.
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Rebecca Betts & Ingo Dierking. (2024) Possibilities and limitations of convolutional neural network machine learning architectures in the characterisation of achiral orthogonal smectic liquid crystals. Soft Matter.
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Andrew T. Nguyen, Heather M. Childs, William M. Salter, Afroditi V. Filippas, Bridget T. McInnes, Kris Senecal, Timothy J. Lawton, Paola A. D’Angelo, Walter Zukas, Todd E. Alexander, Victoria Ayotte, Hong Zhao & Christina Tang. (2023) Prediction of the Structural Color of Liquid Crystals via Machine Learning. Liquids 3:4, pages 440-455.
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Rebecca Betts & Ingo Dierking. (2023) Machine learning classification of polar sub-phases in liquid crystal MHPOBC. Soft Matter 19:39, pages 7502-7512.
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