Gang Luo

ORCID: 0009-0003-4727-0243
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About
Contact & Profiles
Research Areas
  • Photonic and Optical Devices
  • Neural Networks and Reservoir Computing
  • Particle Accelerators and Free-Electron Lasers
  • Pulsed Power Technology Applications
  • Urinary Bladder and Prostate Research
  • Pelvic floor disorders treatments
  • Advanced Optical Imaging Technologies
  • Urinary Tract Infections Management
  • Gyrotron and Vacuum Electronics Research
  • Advanced Optical Sensing Technologies

Zhongshan People's Hospital
2025

China Academy of Engineering Physics
2024-2025

National Academy Foundation
2007

Abstract Optical computing, leveraging light propagation as engine, has emerged a promising paradigm due to inherent advantages in parallel processing, high throughput, and energy‐efficient. However, Existing diffractive network architectures are typically designed for single‐wavelength illumination, limiting their ability capture multiscale spatial‐frequency features of input objects. Here, dual‐wavelength differential neural () is proposed, which synergistically integrates complementary...

10.1002/lpor.202500433 article EN Laser & Photonics Review 2025-05-28

This paper reports on the operation of a repetitively pulsed relativistic klystron amplifier at 100 pps. The electron beam was reproducibly modulated to > 74%. Using 700-kV, 6.5-kA, 25-ns and 600-kW Magnetron as inputs, 1.2-GW radiated power in 20-ns full-width half-maximum pulses 2.95 GHz is extracted. average 2.4 kW. efficiency 27%, gain about 33 dB

10.1109/tps.2007.893263 article EN IEEE Transactions on Plasma Science 2007-04-01

Wavefront sensors and processors are vital components of adaptive optical (AO) systems, directly impacting the operating bandwidth. As application scenarios become increasingly complex, AO systems confronted with more extreme atmospheric turbulence. Additionally, as scale up, data processing demands increase exponentially. These challenges necessitate advancements in wavefront sensing capabilities. To address this, this paper proposes an integrated method based on neural network...

10.3390/photonics11040351 article EN cc-by Photonics 2024-04-10
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