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Cubic Nonlinearity of Graphene-Oxide Monolayer
Tikaram Neupane1, Uma Poudyal1, Bagher Tabibi2
1Department of Chemistry and Physics, The University of North Carolina at Pembroke, Pembroke, NC 28372, USA.
Materials (Basel, Switzerland)
|October 28, 2023
Summary
Graphene oxide exhibits significant nonlinear optical properties, including reverse saturable absorption and positive nonlinear refraction. This study quantifies these effects, revealing potential for advanced optical applications.
Area of Science:
- Nonlinear Optics
- Materials Science
- Condensed Matter Physics
Background:
- Graphene oxide (GO) is a promising material with unique electronic and optical properties.
- Understanding its nonlinear optical (NLO) behavior is crucial for applications in photonics and optoelectronics.
- Characterizing cubic nonlinearity is essential for predicting material response under intense light.
Purpose of the Study:
- To quantitatively characterize the cubic nonlinearity of a graphene oxide monolayer.
- To investigate the interplay between nonlinear absorption and nonlinear refraction in GO.
- To determine the nonlinear absorption and nonlinear refraction coefficients of GO.
Main Methods:
- Utilized open and closed z-scan experiments.
- Employed a nanosecond pulsed laser with a Gaussian beam profile.
- Analyzed absorption and refraction changes under laser excitation.
Main Results:
- Observed reverse saturable absorption (RSA) in open z-scan, indicating a positive nonlinear absorption coefficient (β ≈ 2.62 × 10⁻⁸ m/W).
- Detected valley-peak traces in closed z-scan, signifying positive nonlinear refraction (n₂ ≈ 3.9 × 10⁻¹⁵ m²/W).
- Attributed RSA and positive n₂ to two-photon or two-step absorption processes, suggesting a higher excited-state absorption cross-section than ground-state absorption.
Conclusions:
- Graphene oxide exhibits significant positive cubic nonlinearity.
- The observed nonlinear optical effects are consistent with two-photon or two-step excitation mechanisms.
- The quantified NLO coefficients provide essential data for designing GO-based photonic devices.

