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Anil K Patnaik

Showing results (1-10 of 19) with videos related to

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Applied Optics|August 12, 2025
Principal component-generalized spectrum-machine learning approach for quantifying gallium in a surrogate plutonium matrix using LIBSAshwin P Rao, Anil K Patnaik
Optics Letters|August 18, 2011
All-optically controlled concurrent slow-fast light pairAnil K Patnaik, Sukesh Roy, James R Gord
Applied Optics|August 12, 2025
Machine learning coupled laser-induced breakdown self-reversal isotopic spectrometry for determining lithium isotope concentrationMadison R Moran, Ashwin P Rao, Anil K Patnaik
Optics Letters|February 19, 2008
Controlled parametric generation in a double-ladder system via all-resonant four-wave mixingPaul S Hsu, Anil K Patnaik, George R Welch
Optics Express|December 28, 2019
Measurement of electron density and temperature from laser-induced nitrogen plasma at elevated pressure (1-6 bar)Ashwin P Rao, Mark Gragston, Anil K Patnaik, et al.
The Journal of Chemical Physics|June 11, 2009
Effects of collisions on electronic-resonance-enhanced coherent anti-Stokes Raman scattering of nitric oxideAnil K Patnaik, Sukesh Roy, James R Gord, et al.
Applied Optics|February 23, 2023
LIBS and Raman spectroscopy in tandem with machine learning for interrogating weatherization of lithium hydrideRyan E Pinson, Andrew V Giminaro, Christina L Dugan, et al.
Applied Spectroscopy|August 21, 2024
Analysis of Lithium Aging Using Machine Learning-Enhanced Spectroscopy TechniquesJames T Stofel, Ashwin P Rao, Anil K Patnaik, et al.
Applied Optics|March 17, 2022
Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectraAshwin P Rao, Phillip R Jenkins, John D Auxier, et al.
Applied Spectroscopy|November 18, 2017
All Fiber-Coupled OH Planar Laser-Induced-Fluorescence (OH-PLIF)-Based Two-Dimensional ThermometryPaul S Hsu, Naibo Jiang, Anil K Patnaik, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Applied Optics|August 12, 2025
Principal component-generalized spectrum-machine learning approach for quantifying gallium in a surrogate plutonium matrix using LIBSAshwin P Rao, Anil K Patnaik
Optics Letters|August 18, 2011
All-optically controlled concurrent slow-fast light pairAnil K Patnaik, Sukesh Roy, James R Gord
Applied Optics|August 12, 2025
Machine learning coupled laser-induced breakdown self-reversal isotopic spectrometry for determining lithium isotope concentrationMadison R Moran, Ashwin P Rao, Anil K Patnaik
Optics Letters|February 19, 2008
Controlled parametric generation in a double-ladder system via all-resonant four-wave mixingPaul S Hsu, Anil K Patnaik, George R Welch
Optics Express|December 28, 2019
Measurement of electron density and temperature from laser-induced nitrogen plasma at elevated pressure (1-6 bar)Ashwin P Rao, Mark Gragston, Anil K Patnaik, et al.
The Journal of Chemical Physics|June 11, 2009
Effects of collisions on electronic-resonance-enhanced coherent anti-Stokes Raman scattering of nitric oxideAnil K Patnaik, Sukesh Roy, James R Gord, et al.
Applied Optics|February 23, 2023
LIBS and Raman spectroscopy in tandem with machine learning for interrogating weatherization of lithium hydrideRyan E Pinson, Andrew V Giminaro, Christina L Dugan, et al.
Applied Spectroscopy|August 21, 2024
Analysis of Lithium Aging Using Machine Learning-Enhanced Spectroscopy TechniquesJames T Stofel, Ashwin P Rao, Anil K Patnaik, et al.
Applied Optics|March 17, 2022
Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectraAshwin P Rao, Phillip R Jenkins, John D Auxier, et al.
Applied Spectroscopy|November 18, 2017
All Fiber-Coupled OH Planar Laser-Induced-Fluorescence (OH-PLIF)-Based Two-Dimensional ThermometryPaul S Hsu, Naibo Jiang, Anil K Patnaik, et al.
Pageof 2