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All-optical modulator based on tapered optical fiber configuration deposited with silver nanoparticles

  • Anmar K. Al-Jumaily EMAIL logo and Tahreer S. Mansour
Published/Copyright: September 23, 2025
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Abstract

This study experimentally demonstrates a compact all-optical modulator based on a tapered single-mode fiber coated with silver nanoparticles (Ag NPs) dispersed in a polyvinyl alcohol (PVA) solution. The tapered fiber was fabricated from standard SMF-28 by using a fusion splicing technique, and the waist diameter was precisely reduced to 70.824 µm to ensure strong evanescent field interaction. The Ag NPs had a particle size of 20 nm and were doped into a PVA solution with a concentration of 5 mg. This solution satisfies the two critical conditions (|W| ≫ 1 and |T| ≪ 1), which enable the Ag NPs to act effectively as all-optical devices. The nanoparticles were subsequently deposited onto the waist region of the tapered fiber that enhances the local light–matter interaction. Under optical pumping with a 980 nm laser diode, the Ag NPs induce a strong nonlinear refractive index change through the Kerr effect, leading to intensity-dependent modulation of a 1,550 nm probe signal. A clear inverted square waveform was observed in response to square-wave pump modulation, with stable operation achieved in the frequency range from 1 Hz to 1 kHz. These findings confirm that Ag NPs–coated tapered fibers provide a simple, low-cost, and efficient platform for all-optical modulation, with strong potential for ultrafast photonic and telecommunication applications.


Corresponding author: Anmar K. Al-Jumaily, Laser and Optoelectronics Department, College of Engineering, Al-Nahrain University, Baghdad, Iraq; and Institute of Laser for Postgraduate Studies, University of Baghdad, Baghdad, Iraq, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-08-11
Accepted: 2025-09-03
Published Online: 2025-09-23

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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