首页|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)

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)

扫码查看
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.”

MianyangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningInstitute of Chemical Materials

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.17)