Robotics & Machine Learning Daily News2024,Issue(Jan.17) :53-54.

Studies from Institute of Chemical Materials in the Area of Machine Learning Described (Deciphering Melting Behaviors of Energetic Compounds Using Interpretable Machine Learning for Melt-castable Applications)

Robotics & Machine Learning Daily News2024,Issue(Jan.17) :53-54.

Studies from Institute of Chemical Materials in the Area of Machine Learning Described (Deciphering Melting Behaviors of Energetic Compounds Using Interpretable Machine Learning for Melt-castable Applications)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting from Mianyang, People’s Republic of China, by NewsRx journalists, research stated,“Melting behaviors of energetic compounds determine their thermo-responsive properties, which affects themanufacturing operations and structural stabilities. However, the decisive physicochemical mechanisms formelting behaviors of energetic compounds are absent, which hurdles the acceptancy and generalization ofprediction models for rational molecular design.”

Key words

Mianyang/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Institute of Chemical Materials

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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