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Explicable Machine Learning for Predicting High-Efficiency ..:
Ge, Hanwen
;
Bai, Yuekun
;
Zhou, Rui
...
ACS Sustainable Chemistry & Engineering. 12 (2024) 19 - p. 7578-7590 , 2024
Link:
https://doi.org/10.1021/acssuschemeng.4c01563
RT Journal T1 <Title>Explicable Machine Learning for Predicting High-Efficiency Lignocellulose Pretreatment Solvents Based on Kamlet–Taft and Polarity Parameters</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acssuschemeng.4c01563&Exemplar=1&LAN=DE A1 Ge, Hanwen A1 Bai, Yuekun A1 Zhou, Rui A1 Liu, Yaoze A1 Wei, Jiahui A1 Wang, Shenglin A1 Li, Bin A1 Xu, Huanfei PB American Chemical Society (ACS) YR 2024 SN 2168-0485 SN 2168-0485 JF ACS Sustainable Chemistry & Engineering VO 12 IS 19 SP 7578 OP 7590 LK http://dx.doi.org/https://doi.org/10.1021/acssuschemeng.4c01563 DO https://doi.org/10.1021/acssuschemeng.4c01563 SF ELIB - SuUB Bremen
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