首页|Data on Machine Learning Described by Researchers at University College London ( UCL) (Predicting the Rotational Dependence of Line Broadening Using Machine Lear ning)
Data on Machine Learning Described by Researchers at University College London ( UCL) (Predicting the Rotational Dependence of Line Broadening Using Machine Lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating in London, United Kingdom, by NewsRx journalists, research stated, “Correct pressure broadening is essential for modelling radiative transfer in atmospheres, however data are lacking for th e many exotic molecules expected in exoplanetary atmospheres. Here we explore mo dern machine learning methods to mass produce pressure broadening parameters for a large number of molecules in the ExoMol data base.” Financial supporters for this research include European Research Council (ERC), STFC training grant.
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity College London (UCL)
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