首页|Findings in Machine Learning Reported from Massachusetts Institute of Technology (Machine-learning-assisted Analysis of Visible Spectroscopy In Pulsed-power-dri ven Plasmas)
Findings in Machine Learning Reported from Massachusetts Institute of Technology (Machine-learning-assisted Analysis of Visible Spectroscopy In Pulsed-power-dri ven Plasmas)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Cambridge, Massachus etts, by NewsRx editors, research stated, “We use machine-learning(ML) models t o predict ion density and electron temperature from visible emission spectra, in a highenergydensity pulsed-power-driven aluminum plasma, generated by an expl oding wire array. Radiationtransport simulations, which use spectral emissivity and opacity values generated using the collisionalradiativecode PrismSPECT, a re used to determine the spectral intensity generated by the plasma alongthe sp ectrometer’s line of sight (LOS).”
CambridgeMassachusettsUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningMa ssachusetts Institute of Technology
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