首页|Reports Summarize Machine Learning Research from Kyungpook National University ( Machine Learning Approach for the Estimation of Henry’s Law Constant Based on Mo lecular Descriptors)
Reports Summarize Machine Learning Research from Kyungpook National University ( Machine Learning Approach for the Estimation of Henry’s Law Constant Based on Mo lecular Descriptors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news originating from Daegu, South Korea, by New sRx correspondents, research stated, “In atmospheric chemistry, the Henry’s law constant (HLC) is crucial for understanding the distribution of organic compound s across gas, particle, and aqueous phases. Quantitative structure-property rela tionship (QSPR) models described in scientific research are generally tailored t o specific groups or categories of substances and are often developed using a li mited set of experimental data.”
Kyungpook National UniversityDaeguSo uth KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
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