Computer-Aided Design of Covalent Organic Frameworks for SF6 Capture: The Combination of High-Throughput Screening and Machine Learning
Junjie Ning,
Kun Shen,
Rui Zhao
et al.
Abstract:Efficiently separating sulfur hexafluoride/nitrogen (SF 6 /N 2 ) poses an urgent challenge. Four covalent organic frameworks (COFs) (Re % > 80%) with greater performance in SF 6 /N 2 separation experiment were selected from the CURATED database by high-throughput screening in this paper. XGB was selected among four machine learning models (SVM, RF, GBRT, and XGB) and this model had good fitting effects in terms of both regeneration (Re %, R 2 = 0.809) and ln(S ads ). Relative importance analyses of XGB describ… Show more
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