Dan Li

High Power 5 GHz-Level Narrow-Linewidth Fiber Laser with 3 Kilowatts Near Diffraction Limited Output

Yousi Yang, Dan Li, Guanzhong Li, Yijie Zhang et autres

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In-situ forward sparse training of large-scale optical neural networks

Dan Li, Qirong Xiao

The rapidly growing scale of neural network models requires more energy-efficient computing hardware to meet computational demands. Optical neural networks (ONNs) are particularly appealing owing to their potential for high parallelism, fast dynamics, and low energy consumption. However, training large-scale ONNs efficiently …

Rotational Memory Effect‐Inspired Radon Domain Learning Empowers Image Transmission Through Multimode Fibers

Ninghe Liu, Lele Wang, Zhaofan He, Haoran Zhang et autres

Abstract Image transmission through multimode fibers (MMFs) poses a complex inversion challenge due to the intricate light transport and potential information loss. While recent advances in deep neural networks (DNNs) have shown promise in modeling the MMF input‐output relationship, commonly‐used networks such …

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Optical modulation characteristics of MA 0.9 FA 0.1 PbI 3 thin films in the terahertz regime

Dan Li, Xuncheng Wu, Chunya Luo, Furi Ling et autres

The modulation properties of the Lead Halide Perovskite film play an essential role in the terahertz (THz) functional applications. In this manuscript, the optical modulation of the Lead Halide Perovskite MA0.9FA0.1PbI3 thin film was investigated with the THz time-domain spectroscopy (THz-TDS). The …

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A dual-wavelength cladding-pumped Er-doped ZBLAN fiber laser emitting around 2.8 μm

Yi Cai, Dan Li, Guohao Fu, Guanzhong Li et autres

We demonstrated a dual-wavelength cladding-pumped Er-doped ZBLAN fiber laser emitting around 2.8 μm for the first time. The laser was jointly cladding-pumped by a 1.568 μm fiber laser and a 1.68 μm laser diode. The system lifted pump constraints innovatively with LD …

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A dual-wavelength cladding-pumped Er-doped ZBLAN fiber laser emitting around 2.8 μm

Yi Cai, Dan Li, Guohao Fu, Guanzhong Li et autres

We demonstrated a dual-wavelength cladding-pumped Er-doped ZBLAN fiber laser emitting around 2.8 μm for the first time. The laser was jointly cladding-pumped by a 1.568 μm fiber laser and a 1.68 μm laser diode. The system lifted pump constraints innovatively with LD …

Deep learning and superoscillatory speckles empowered multimode fiber probe for in situ nano-displacement detection and micro-imaging

Qirong Xiao, Lele Wang, Yiwei Zhang, Yibing Zhou et autres

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Performance enhancement of nonlinear pulse amplification in large-mode-area multimode gain fibers via pump configuration optimization

Guohao Fu, Wasyhun A. Gemechu, Yicong Liu, Dan Li et autres

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3 kW narrow-linewidth linearly polarized fiber laser with high-purity single-mode output and high PER enabled by suppressing mode and polarization coupling

Yousi Yang, Dan Li, Yijie Zhang, Pei Li et autres

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All-fiber chirp tuning of ultrashort pulses via long chirped fiber Bragg grating pair

Mingjin Gao, Yuhang Li, Di Song, Dan Li et autres

Chirp tuning of ultrashort pulses is crucial for nonlinear fiber amplification and nonlinear dynamics investigations. Here we demonstrate all-fiber chirp tuning via a chirped fiber Bragg grating (CFBG) pair. Two identically long CFBGs were placed reversely to cancel out most of their …

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Investigations of a 439 W Narrow-Linewidth Er/Yb Fiber Amplifier Pumped by 1018 nm Fiber Lasers

Guanzhong Li, Dan Li, Yi Cai, Guohao Fu et autres

In this paper, a 439 W, 1567 nm, narrow-linewidth Er/Yb co-doped fiber (EYDF) laser system pumped by 1018 nm fiber lasers is demonstrated. The 1018 nm fiber lasers are utilized as pumping source to suppress the ∼1 µm amplified spontaneous emission. It …

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Optimal Dispatch of Multi-Energy Power System Based on Uncertainty of Thermal Power Unit

Wei Hu, Ning Mi, Hailiang Zhong, Dan Li et autres

Under the national “dual carbon” goals, the proportion of new energy sources in the power system continues to rise. This study introduces an optimization method for thermal power unit combinations based on chance-constrained programming, aimed at addressing the uncertainties in thermal power …

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