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1 Ergebnisse
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Interpretable Machine Learning Model for Predicting Interac..:
Liu, Chuanlei
;
Chen, Yuxiang
;
Guo, Guanchu
...
Industrial & Engineering Chemistry Research. 62 (2023) 12 - p. 5274-5285 , 2023
Link:
https://doi.org/10.1021/acs.iecr.2c04559
RT Journal T1 <Title>Interpretable Machine Learning Model for Predicting Interaction Energies between Dimethyl Sulfide and Potential Absorbing Solvents</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.iecr.2c04559&Exemplar=1&LAN=DE A1 Liu, Chuanlei A1 Chen, Yuxiang A1 Guo, Guanchu A1 Zhao, Qiyue A1 Jiang, Hao A1 Wu, Kongguo A1 Peng, Qilong A1 Chen, Yu A1 Fang, Diyi A1 Shen, Benxian A1 Shen, Haitao A1 Wu, Di A1 Sun, Hui PB American Chemical Society (ACS) YR 2023 SN 0888-5885 SN 1520-5045 JF Industrial & Engineering Chemistry Research VO 62 IS 12 SP 5274 OP 5285 LK http://dx.doi.org/https://doi.org/10.1021/acs.iecr.2c04559 DO https://doi.org/10.1021/acs.iecr.2c04559 SF ELIB - SuUB Bremen
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