Performance of Hybrid Clustering-Classification Approach for Dual-Band System in a Mode-Locked Fiber Laser DOI Creative Commons
Cristian D. Gutiérrez, Jean Ruiz, Sergio Castrillón

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 104115 - 104125

Published: Jan. 1, 2024

This paper presents the performance results of a hybrid machine-learning model in task classifying light pulse spectra regimes (modes) following optical system: mode-locked Erbium-doped fiber laser using nonlinear polarization rotation based on monolayer graphene. The four modes studied are continuous waves, pulses at wavelengths 1533 and 1555 nm , Dual-Band (both wavelengths). is mix an unsupervised process for identifying supervised characterizing remaining modes. algorithms used K-means, stage, Light Gradient Boosting Machine learning. Performance mainly reported by balanced accuracy, where reached 88% compared to manual classification techniques. We also tested speed our regarding process. found average computing time 10.8 ms trained whereas former technique was around three orders magnitude above. represents huge improving consumption classification.

Language: Английский

Can 2D Semiconductors Be Game-Changers for Nanoelectronics and Photonics? DOI
Seunguk Song, Mahfujur Rahaman, Deep Jariwala

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(17), P. 10955 - 10978

Published: April 16, 2024

2D semiconductors have interesting physical and chemical attributes that led them to become one of the most intensely investigated semiconductor families in recent history. They may play a crucial role next technological revolution electronics as well optoelectronics or photonics. In this Perspective, we explore fundamental principles significant advancements electronic photonic devices comprising semiconductors. We focus on strategies aimed at enhancing performance conventional exploiting important properties allow fundamentally device functionalities for future applications. Approaches realization emerging logic transistors memory photovoltaics, photodetectors, electro-optical modulators, nonlinear optics based are discussed. also provide forward-looking perspective critical remaining challenges opportunities basic science technology level applications

Language: Английский

Citations

13
Switchable dual-band generation of femtosecond pulses in a mode-locked Erbium-doped fiber laser based on monolayer graphene DOI Creative Commons
Sergio Castrillón,

Esteban Marulanda A.,

David Steinberg

et al.

Journal of Lightwave Technology, Journal Year: 2024, Volume and Issue: 42(23), P. 8405 - 8413

Published: July 12, 2024

This work presents a stable and switchable dual-band generation from polarization-dependent Erbium-doped fiber laser mode-locked by monolayer graphene as saturable absorber. The ultrashort generated pulses at single band exhibit spectral (temporal) widths of 8.8 nm (305 fs) 9 (384 1536 1557 nm, respectively, while the simultaneous state ensured width 5 6 for both wavelengths, which are best performances literature obtained an EDFL. Also, its evolution was analyzed changing pumping power intracavity polarization via motorized controller. Finally, our simulation provided excellent qualitative explanation switching function due to change in EDF gain. We found relative percentage error between experimental results $22.7\%$ , notation="LaTeX">$13.3\%$ notation="LaTeX">$9\%$ notation="LaTeX">$8.3\%$ 1530 1556 left right central wavelength, respectively.

Language: Английский

Citations

1
Research progress of nonlinear optical properties of integrated two-dimensional materials DOI Open Access
Ning Liu, Ken Liu, Zhihong Zhu

et al.

Acta Physica Sinica, Journal Year: 2023, Volume and Issue: 72(17), P. 174202 - 174202

Published: Jan. 1, 2023

Photonic platforms with excellent nonlinear optical characteristics are very important to improve the devices' performance parameters such as integration, modulation speeds and working bandwidths for all-optical signal processing. The traditional processing technology of photonic based on silicon, silicon nitride oxide is mature, but function these limited due materials; Although two-dimensional (2D) materials possess properties, their potentials cannot be fully utilized because atomic layer thickness. Integrating 2D mature can significantly interaction between light matter, give full play in field optics, performances integrated basis utilizing platforms. Based above ideas, starting from basic principle optics (Section 2), this review combs research progress various (resonators, metasurfaces, fibers, on-chip waveguides, etc.) heterogeneously materials, realized by transfer methods 3) emerging direct-growth 4) recent years, introduction divided into second-order third-order nonlinearity. Comparing methods, advantages using realize heterogeneous integration study expounded, technical difficulties overcome preparing actual devices also pointed. In future, we try grow directly onto surfaces cavities enhancement nonlinearity; waveguides or microrings Generally speaking, nonlinearity growing structures has aroused great interest researchers field. As time goes on, breakthrough will made field, problems continuous growth high-quality wafer-level large-scale preparation broken through, further improving chips laying a good foundation communication, processing, sensing, computing, quantum so on.

Language: Английский

Citations

1
Investigation of the nonlinear optical frequency conversion in ultrathin franckeite heterostructures DOI Creative Commons
Alisson R. Cadore, Alexandre S. M. V. Oré, David Steinberg

et al.

Journal of Applied Physics, Journal Year: 2024, Volume and Issue: 135(8)

Published: Feb. 22, 2024

Layered franckeite is a natural superlattice composed of two alternating layers different compositions, SnS$_2$- and PbS-like. This creates incommensurability between the species along planes layers, resulting in spontaneous symmetry-break periodic ripples \textit{a}-axis orientation. Nevertheless, heterostructure has shown potential for optoelectronic applications mostly because it semiconductor with 0.7 eV bandgap, air-stable, can be easily exfoliated down to ultrathin thicknesses. Here, we demonstrate that few-layer shows highly anisotropic nonlinear optical response due its lattice structure, which allow identification ripple axis. Moreover, find third-harmonic emission strongly varies material thickness. These features are further corroborated by theoretical susceptibility model transfer matrix method. Overall, our findings help understand this propose characterization method could used other layered materials heterostructures assign their characteristic axes.

Language: Английский

Citations

0
Performance of Hybrid Clustering-Classification Approach for Dual-Band System in a Mode-Locked Fiber Laser DOI Creative Commons
Cristian D. Gutiérrez, Jean Ruiz, Sergio Castrillón

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 104115 - 104125

Published: Jan. 1, 2024

This paper presents the performance results of a hybrid machine-learning model in task classifying light pulse spectra regimes (modes) following optical system: mode-locked Erbium-doped fiber laser using nonlinear polarization rotation based on monolayer graphene. The four modes studied are continuous waves, pulses at wavelengths 1533 and 1555 nm , Dual-Band (both wavelengths). is mix an unsupervised process for identifying supervised characterizing remaining modes. algorithms used K-means, stage, Light Gradient Boosting Machine learning. Performance mainly reported by balanced accuracy, where reached 88% compared to manual classification techniques. We also tested speed our regarding process. found average computing time 10.8 ms trained whereas former technique was around three orders magnitude above. represents huge improving consumption classification.

Language: Английский

Citations

0