<title>New concept of a compact multiwavelength solid state laser for laser-induced shock wave lithotripsy</title>

Fluoride crystals, due to their low phonon energies, are attractive hosts of trivalent lanthanide ions for applications in upconverting phosphors, quantum information science, and solid-state laser refrigeration. In this article, we report the rapid, low-cost hydrothermal synthesis of potassium lutetium fluoride (KLF) microcrystals for applications in solid-state laser refrigeration. Four crystalline phases were synthesized, namely orthorhombic K2LuF5 (Pnma), trigonal KLuF4 (P3121), orthorhombic KLu2F7 (Pna21), and cubic KLu3F10 (Fm3m), with each phase exhibiting unique microcrystalline morphologies. Luminescence spectra and emission lifetimes of the four crystalline phases were characterized based on the point-group symmetry of trivalent cations. Laser refrigeration was measured by observing both the optomechanical eigenfrequencies of microcrystals on cantilevers in vacuum, and also the Brownian dynamics of optically trapped microcrystals in water. Among all four crystalline phases, the most significant cooling was observed for 10%Yb:KLuF4 with cooling of 8.6 $\pm$ 2.1 K below room temperature. Reduced heating was observed with 10%Yb:K2LuF5

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Tunable Solid-State Laser and High Resolution Digital Cameras for Lagrangian Vortex Imaging

10.21236/ada391255 ◽

2000 ◽

Author(s):

N. M. Komerath ◽

O. D. Wong ◽

R. Mahalingam

Keyword(s):

Solid State ◽

High Resolution ◽

Solid State Laser ◽

Digital Cameras ◽

State Laser ◽

Vortex Imaging

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High Power Laser Diode Arrays for Pumping Solid State Laser and Pumping Characteristics

The Review of Laser Engineering ◽

10.2184/lsj.24.supplement_85 ◽

1996 ◽

Vol 24 (Supplement) ◽

pp. 85-88

Author(s):

H. Kan ◽

T. Kanzaki ◽

H. Miyajima ◽

Y. Ito ◽

K. Matsui ◽

...

Keyword(s):

Solid State ◽

Laser Diode ◽

High Power ◽

Solid State Laser ◽

High Power Laser ◽

Power Laser ◽

State Laser ◽

Laser Diode Arrays ◽

High Power Laser Diode

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Efficient diode-pumped solid-state laser at 266 nm

2013 Conference on Lasers and Electro-Optics Pacific Rim (CLEOPR) ◽

10.1109/cleopr.2013.6600466 ◽

2013 ◽

Author(s):

Cheng-Yu Tang ◽

Yu-Jen Huang ◽

Kuan-Wei Su ◽

Yung-Fu Chen

Keyword(s):

Solid State ◽

Solid State Laser ◽

State Laser ◽

Diode Pumped

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High-performance wavelength tuning of a mid-infrared solid-state laser using a resonant diffraction grating

10.1117/12.922282 ◽

2012 ◽

Cited By ~ 1

Author(s):

N. Vermeulen ◽

P. Wasylczyk ◽

S. Tonchev ◽

P. Muys ◽

H. Ottevaere ◽

...

Keyword(s):

Solid State ◽

Diffraction Grating ◽

High Performance ◽

Solid State Laser ◽

Wavelength Tuning ◽

Mid Infrared ◽

State Laser

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Adaptive Gradient Estimation Stochastic Parallel Gradient Descent Algorithm for Laser Beam Cleanup

Photonics ◽

10.3390/photonics8050165 ◽

2021 ◽

Vol 8 (5) ◽

pp. 165

Author(s):

Shiqing Ma ◽

Ping Yang ◽

Boheng Lai ◽

Chunxuan Su ◽

Wang Zhao ◽

...

Keyword(s):

Solid State ◽

Adaptive Optics ◽

Gradient Descent ◽

Solid State Laser ◽

Gradient Estimation ◽

State Laser ◽

Gradient Descent Algorithm ◽

Stochastic Parallel Gradient Descent ◽

High Output ◽

Improved Algorithm

For a high-power slab solid-state laser, obtaining high output power and high output beam quality are the most important indicators. Adaptive optics systems can significantly improve beam qualities by compensating for the phase distortions of the laser beams. In this paper, we developed an improved algorithm called Adaptive Gradient Estimation Stochastic Parallel Gradient Descent (AGESPGD) algorithm for beam cleanup of a solid-state laser. A second-order gradient of the search point was introduced to modify the gradient estimation, and it was introduced with the adaptive gain coefficient method into the classical Stochastic Parallel Gradient Descent (SPGD) algorithm. The improved algorithm accelerates the search for convergence and prevents it from falling into a local extremum. Simulation and experimental results show that this method reduces the number of iterations by 40%, and the algorithm stability is also improved compared with the original SPGD method.

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