首页|Sichuan University Reports Findings in Machine Learning (Rate coefficients for C and O2 reactive collisions relevant to interstellar clouds from QCT and machine learning)
Sichuan University Reports Findings in Machine Learning (Rate coefficients for C and O2 reactive collisions relevant to interstellar clouds from QCT and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Chengdu, People’s Repu blic of China, by NewsRx editors, research stated, “The chemicalreactions betwe en certain interstellar molecules are exothermic in nature and barrierless in th e entrancechannel, allowing these reactions to occur rapidly even at low astron omical temperatures, e.g., C andO2 interaction. Obtaining detailed rovibrationa l transition parameters for the reaction between C andO2, such as state-selecte d rate coefficients, is crucial for studying the associated atmospheric and astronomical environments.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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