Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application

Ievgen Kurylo; Joost van der Tol; Nicholas Colonnese; Dirk J. Broer; Danqing Liu

doi:10.1038/s41598-022-24106-8

Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application

Ievgen Kurylo, Joost van der Tol, Nicholas Colonnese, Dirk J. Broer, Danqing Liu (Corresponding author)

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

8 Citaten (Scopus)

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Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm²) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm² power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated.

Originele taal-2	Engels
Artikelnummer	19512
Aantal pagina's	8
Tijdschrift	Scientific Reports
Volume	12
DOI's	https://doi.org/10.1038/s41598-022-24106-8
Status	Gepubliceerd - 14 nov. 2022

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Publisher Copyright:
© 2022, The Author(s).

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10.1038/s41598-022-24106-8

pdfDefinitieve gepubliceerde versie, 2,21 MBLicentie: CC BY

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Center for Multiscale Electron Microscopy (CMEM)
Friedrich, H. (Manager), Joosten, R. (Education/onderzoek medewerker), Schmit, P. (Education/onderzoek medewerker), Schreur - Piet, I. (Inhoud) & Spoelstra, A. (Education/onderzoek medewerker)
Physical Chemistry
Uitrusting/faciliteit: Onderzoekslaboratorium

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title = "Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application",

abstract = "Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm2) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm2 power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated.",

keywords = "Liquid Crystals, Haptic Technology, Touch, Robotics, Touch Perception",

author = "Ievgen Kurylo and {van der Tol}, Joost and Nicholas Colonnese and Broer, {Dirk J.} and Danqing Liu",

note = "Funding Information: This research was financially supported by Meta (Facebook Reality Labs). We also thank The Netherlands Organization for Scientific Research (NWO OCENW.KLEIN. 10854, START-UP 8872) and the European Union{\textquoteright}s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement 956150 (STORM-BOTS) for financial support. We would also like to show our gratitude to Dr. Lu Lu and Dr. Junren Wang for the fruitful discussions. We are also grateful to Dr. Thierry Slot for manufacturing the LED controller, Tom Bus for SEM measurements and Prof. Stefan Meskers for the fluorescent dye spectra measurements. Finally, we thank Larysa Kurylo for her help with the figures. ",

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doi = "10.1038/s41598-022-24106-8",

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AU - Kurylo, Ievgen

AU - van der Tol, Joost

AU - Colonnese, Nicholas

AU - Broer, Dirk J.

AU - Liu, Danqing

N1 - Funding Information: This research was financially supported by Meta (Facebook Reality Labs). We also thank The Netherlands Organization for Scientific Research (NWO OCENW.KLEIN. 10854, START-UP 8872) and the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement 956150 (STORM-BOTS) for financial support. We would also like to show our gratitude to Dr. Lu Lu and Dr. Junren Wang for the fruitful discussions. We are also grateful to Dr. Thierry Slot for manufacturing the LED controller, Tom Bus for SEM measurements and Prof. Stefan Meskers for the fluorescent dye spectra measurements. Finally, we thank Larysa Kurylo for her help with the figures.

PY - 2022/11/14

Y1 - 2022/11/14

N2 - Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm2) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm2 power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated.

AB - Artificially created tactile feedback is in high demand due to fast developments in robotics, remote control in medicine, virtual reality, and smart electronics. Despite significant progress, high-quality haptic feedback devices remain challenging mainly due to the lack of stability and spatiotemporal resolution. In this work, we address these issues by the application of dynamic coatings, based on photo-responsive liquid crystal network (LCN) material. This material adapts upon an external stimulus (UV light with a power intensity of 50–90 mW/cm2) that changes its elastic properties (87% decrease of the modulus for 90 mW/cm2 power intensity of 365 nm UV light). Localized change of adaptive modulus with very high resolution (2 μm) was demonstrated.

KW - Liquid Crystals

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KW - Touch Perception

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Photo-responsive liquid crystal network-based material with adaptive modulus for haptic application

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