Výsledky vyhledávání - "Luz, Daniel F."

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Investigation of Random Laser in the Machine Learning Approach

Autor: Santos, Emanuel P., Silva, Rodrigo F., Maciel, Célio V. T., Luz, Daniel F., Silva, Pedro F. A.

Machine Learning and Deep Learning are computational tools that fall within the domain of artificial intelligence. In recent years, numerous research works have advanced the application of machine and deep learning in various fields, including optics

Externí odkaz: http://arxiv.org/abs/2311.02004

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Metallic nanoparticles-decorated NdxY1-xAl3(BO3)4 sub-micrometric particles to enhance anti-Stokes excitation performance

Autor: Hilário, Eloísa G., Habib, Tatiana, Maciel, Célio V. T., da Silva, Rodrigo F., Luz, Daniel F., Soares, Gabriela S., Caillier, Bruno, Jacinto, Carlos, Maia, Lauro J. Q., Caiut, José Maurício A., Moura, André L.

In the anti-Stokes excitation of trivalent rare-earth ions (RE3+), the excitation photons energy is smaller than that of a given absorption transition, and the energy mismatch can be compensated by phonons annihilation from the host lattice. Since th

Externí odkaz: http://arxiv.org/abs/2306.11937

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Energy-looping and photon-avalanche-like phenomena in NdxY1.00-xAl3(BO3)4 powders excited at 1064 nm

Autor: da Silva, Rodrigo F., Luz, Daniel F., Maciel, Célio V. T., Santos, Emanuel P., Soares, Gabriela, Maia, Lauro J. Q., Jacinto, Carlos, Moura, André L.

We investigate the role of the Nd3+ content on the PA characteristics in NdxY1.00-xAl3(BO3)4 particles with x ranging from 0.05 to 1.00. It is known that the replacement of Y3 by Nd3+ into the YAl3(BO3)4 crystalline structure can introduce strong mod

Externí odkaz: http://arxiv.org/abs/2211.15854

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