Optical nonlinearities in chemically synthesized and femtosecond laser fabricated gold nanoparticle colloidal solutions

Priyadarshini, Mani; Acharyya, Jitendra Nath; Mahajan, Sumeet; Prakash, G. Vijaya

doi:10.1016/j.optlastec.2021.107008

Cited by 32 publications

(24 citation statements)

References 57 publications

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“…It is worth mentioning that different reports have studied the nonlinear optical properties of Au NPs [ 19 , 49 , 50 , 51 ], but this work involved an intensive study that used different excitation wavelengths and different laser powers for two Au NP samples of different concentrations. This study allowed for a more complete understanding of the behavior of Au NPs for future applications in optical and photonic devices.…”

Section: Resultsmentioning

confidence: 99%

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

et al. 2022

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In this study, we experimentally investigated the nonlinear optical properties of Au nanoparticles (Au NPs) that were prepared in pure distilled water using the laser ablation method. The Au NPs were prepared using a nanosecond Nd:YAG laser with an ablation time of 5 or 10 min at a constant laser energy of 100 mJ. The structure and the linear optical properties of the Au NPs were investigated using a transmission electron microscope (TEM) and UV-visible spectrophotometer analysis, respectively. The TEM measurements showed that the average size of the Au NPs varied from 20.3 to 14.1 nm, depending on the laser ablation time. The z-scan technique was used to investigate the nonlinear refractive index (n2) and nonlinear absorption coefficient (γ) of the Au NPs, which were irradiated at different excitation wavelengths that ranged from 740 to 820 nm and at different average powers that ranged from 0.8 to 1.6 W. The Au NP samples exhibited a reverse saturable absorption (RSA) behavior that increased when the excitation wavelength and/or incident laser power increased. In addition, the Au NPs acted as a self-defocusing material whenever the excitation wavelength or incident power were modified.

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Section: Resultsmentioning

confidence: 99%

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

et al. 2022

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“…The detailed experimental arrangements and procedures are given in the literature. 17,44,45 In open aperture (OA) Z-scan measurement, all the transmitted beam is collected using a photodiode, whereas, in closed aperture Z-scan, an aperture is used before the collection. In the present study, all the optical measurements were performed under ambient conditions.…”

Section: Sample Fabrication and Experimental Arrangementsmentioning

confidence: 99%

“…In the single-beam Z-scan technique, the Gaussian laser beam (1.55 eV) is focused using a convex lens of a 15 cm focal length, and the transmission through the sample is recorded at each Z position. The detailed experimental arrangements and procedures are given in the literature. ,, In open aperture (OA) Z-scan measurement, all the transmitted beam is collected using a photodiode, whereas, in closed aperture Z-scan, an aperture is used before the collection. In the present study, all the optical measurements were performed under ambient conditions.…”

Section: Sample Fabrication and Experimental Arrangementsmentioning

confidence: 99%

Photonic Cavity-Mediated Tunable Ultrafast Absorption Dynamics in BaTiO₃-Based One-Dimensional Photonic Crystal

Acharyya

Desai

Gangineni

et al. 2021

ACS Appl. Electron. Mater.

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The ultrafast absorption dynamics of photonic modes and enhanced features of electronic states have been demonstrated in a barium titanate (BaTiO 3 , BTO)-embedded onedimensional photonic crystal. The photonic structure has been realized as an optical microcavity, where a BTO central layer is sandwiched between two SiO 2 /TiO 2 -distributed Bragg reflectors. Angle-dependent transient absorption behavior reveals the excitedstate absorption dynamics of cavity-tuned BTO defect energies. Furthermore, the dynamic evolution of photonic minibands of both sides of the photonic cavity mode demonstrates the enormous cavity field confinement effect. The temporal evolution of nonlinear absorption dynamics is specific to cavity angle tuning and is evidenced by seven orders of two-photon absorption enhancement in BTO mid-bandgap energies. Overall, the results highlight the impact of strong optical field confinement within the BTO central layer. The simulations of spatial and angledependent localized optical field and energy deposition within the photonic structure further support the experimental findings. The enhanced features of ultrafast absorption dynamics and strong optical nonlinearities of the BTO-based active photonic structure offer a better understanding of electron−photon interaction, which paves the way for many novel nonlinear, hybrid optoelectronic, and photonic device applications.

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“…Our data generation process and machine learning strategy for structural colors of nanoparticle systems are schematically illustrated in Figure 1. A thin layer composed of randomly distributed, monodisperse spherical gold nanoparticles embedded in water was investigated, because of its strong plasmon resonances in the visible spectrum and wide application in nanophotonics [7,[34][35][36]. The external medium was set to air.…”

Section: Model and Dataset Generationmentioning

confidence: 99%

Prediction and Inverse Design of Structural Colors of Nanoparticle Systems via Deep Neural Network

Wang

et al. 2021

Nanomaterials

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Noniridescent and nonfading structural colors generated from metallic and dielectric nanoparticles with extraordinary optical properties hold great promise in applications such as image display, color printing, and information security. Yet, due to the strong wavelength dependence of optical constants and the radiation pattern, it is difficult and time-consuming to design nanoparticles with the desired hue, saturation, and brightness. Herein, we combined the Monte Carlo and Mie scattering simulations and a bidirectional neural network (BNN) to improve the design of gold nanoparticles’ structural colors. The optical simulations provided a dataset including color properties and geometric parameters of gold nanoparticle systems, while the BNN was proposed to accurately predict the structural colors of gold nanoparticle systems and inversely design the geometric parameters for the desired colors. Taking the human chromatic discrimination ability as a criterion, our proposed approach achieved a high accuracy of 99.83% on the predicted colors and 98.5% on the designed geometric parameters. This work provides a general method to accurately and efficiently design the structural colors of nanoparticle systems, which can be exploited in a variety of applications and contribute to the development of advanced optical materials.

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Optical nonlinearities in chemically synthesized and femtosecond laser fabricated gold nanoparticle colloidal solutions

Cited by 32 publications

References 57 publications

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

Photonic Cavity-Mediated Tunable Ultrafast Absorption Dynamics in BaTiO₃-Based One-Dimensional Photonic Crystal

Prediction and Inverse Design of Structural Colors of Nanoparticle Systems via Deep Neural Network

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Optical nonlinearities in chemically synthesized and femtosecond laser fabricated gold nanoparticle colloidal solutions

Cited by 32 publications

References 57 publications

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

Using Femtosecond Laser Pulses to Explore the Nonlinear Optical Properties of Au NP Colloids That Were Synthesized by Laser Ablation

Photonic Cavity-Mediated Tunable Ultrafast Absorption Dynamics in BaTiO3-Based One-Dimensional Photonic Crystal

Prediction and Inverse Design of Structural Colors of Nanoparticle Systems via Deep Neural Network

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Photonic Cavity-Mediated Tunable Ultrafast Absorption Dynamics in BaTiO₃-Based One-Dimensional Photonic Crystal