, (PMT) (vPvM)

Min Han1, Biao Jin1, Jun Liang2

  • 1State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; CAS Center for Excellence in Deep Earth Science, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 10069, China.

Water research
|August 18, 2023
PubMed
概括

机器学习模型准确地识别了持久性,移动性和有毒性 (PMT) 或非常持久,非常移动性 (vPvM) 的物质. 这种方法有助于通过有效选化学品来防止饮用水污染.