NASA Ames Research Center Reports Findings in Machine Learning (Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach)

Robotics & Machine Learning Daily News2024，Issue(Jan.8) ：59-59.

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NASA Ames Research Center Reports Findings in Machine Learning (Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Moffett Field, California, by NewsRx journalists, research stated, “We develop acomputational framework combining thermodynamic and machine learning models to predict the meltingtemperatures of molten salt eutectic mixtures (). The model shows an accuracy of 6% (mean absolutepercentage error) over the entire data set.”

Key words

Moffett Field/California/United States/North and Central America/Business/Cyborgs/Emerging Technologies/KBR Inc./Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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