1. Dynamic Color Generation with Electrically Tunable Thin Film Optical Coatings
- Author
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Ranjan Singh, Kandammathe Valiyaveedu Sreekanth, Rohit Medwal, Manukumara Manjappa, Yogesh Kumar Srivastava, Rajdeep Singh Rawat, School of Physical and Mathematical Sciences, Centre for Disruptive Photonic Technologies (CDPT), and The Photonics Institute
- Subjects
Coupling ,Materials science ,business.industry ,Mechanical Engineering ,Nanophotonics ,Physics::Optics ,Fano resonance ,Bioengineering ,General Chemistry ,Condensed Matter Physics ,Fano Resonance ,Narrowband ,Optical coating ,Physics [Science] ,Phase Change Materials ,Electrical Control of Colors ,Optoelectronics ,General Materials Science ,Color filter array ,Thin film ,business ,Thin Film Optical Coatings ,Tunable Optical Structures ,Color Filters Microheaters ,Visible spectrum - Abstract
Thin film optical coatings have a wide range of industrial applications from displays and lighting to photovoltaic cells. The realization of electrically tunable thin film optical coatings in the visible wavelength range is particularly important to develop energy efficient and dynamic color filters. Here, we experimentally demonstrate dynamic color generation using electrically tunable thin film optical coatings that consist of two different phase change materials (PCMs). The proposed active thin film nanocavity excites the Fano resonance that results from the coupling of a broadband and a narrowband absorber made up of phase change materials. The Fano resonance is then electrically tuned by structural phase switching of PCM layers to demonstrate active color filters covering the entire visible spectrum. In contrast to existing thin film optical coatings, the developed electrically tunable PCM based Fano resonant thin optical coatings have several advantages in tunable displays and active nanophotonic applications. Agency for Science, Technology and Research (A*STAR) National Research Foundation (NRF) Accepted version The authors acknowledge the funding support from Advanced Manufacturing and Engineering (AME) Programmatic grant (A18A5b0056) by Agency for Science, Technology and Research (A*STAR) and the National Research Foundation Singapore (Award No.: NRF-CRP23-2019-0005).
- Published
- 2021