المؤلفون: Xiaoyu Xue (275235), Min Cheng (86295), Shihui Wang (653643), Shaochen Chen (1729705), Li Zhou (54356), Chong Liu (450204), Xu Ji (343848)

مصطلحات موضوعية: Biochemistry, Sociology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, “ learn ”, testing mof samples, randomly selected training, hypothetical mof database, garnered extensive interest, performance mof candidates, throughput screening strategy, throughput screening approach, proposed machine learning, 2 , 6 , 3 , machine learning model, possess high c, competitively high c, nine chemical descriptors, separation performance prediction, throughput screening, machine learning, prediction model, r <, separation performance, >< sup

Relation: https://figshare.com/articles/journal_contribution/High-Throughput_Screening_of_Metal_Organic_Frameworks_Assisted_by_Machine_Learning_Propane_Propylene_Separation/21834248

الاتاحة: https://doi.org/10.1021/acs.iecr.2c02374.s001