首页|Research Data from Niels Bohr Institute Update Understanding of Machine Learning (Harnessing Machine Learning for Accurate Treatment of Overlapping Opacity Spec ies In General Circulation Models)
Research Data from Niels Bohr Institute Update Understanding of Machine Learning (Harnessing Machine Learning for Accurate Treatment of Overlapping Opacity Spec ies In General Circulation Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromCopenhagen, Denmark, by NewsRx journ alists, research stated, “To understand high precision observationsof exoplanet s and brown dwarfs, we need detailed and complex general circulation models (GCM s) thatincorporate hydrodynamics, chemistry, and radiation. For this study, we specifically examined the couplingbetween chemistry and radiation in GCMs and c ompared different methods for the mixing of opacities ofdifferent chemical spec ies in the correlated-k assumption, when equilibrium chemistry cannot be assumed.”
CopenhagenDenmarkEuropeChemistryCyborgsEmerging TechnologiesMachine LearningNiels Bohr Institute
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