Data-driven modeling for electro-active liquid crystal polymer networks
Abstract In this paper, we propose a data-driven nonlinear modeling approach to describe the dynamics of smart surfaces composed of electroactive liquid crystal networks (LCNs). LCNs are among the top candidates for materials to be employed in smart surfaces such as haptic displays. To realize such...
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Main Authors: | Anahita Amiri, Mohammad Fahim Shakib, Ines Lopez Arteaga, Nathan van de Wouw |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
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Series: | Discover Applied Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s42452-024-06441-9 |
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