Gong, Zheng, Wu, Yanze, Wu, Liang, Sun, Huai (2018) Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning. Journal of Chemical Information and Modeling, 58 (12) 2502-2516 doi:10.1021/acs.jcim.8b00407
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning | ||
| Journal | Journal of Chemical Information and Modeling | ||
| Authors | Gong, Zheng | Author | |
| Wu, Yanze | Author | ||
| Wu, Liang | Author | ||
| Sun, Huai | Author | ||
| Year | 2018 (December 24) | Volume | 58 |
| Issue | 12 | ||
| Publisher | American Chemical Society (ACS) | ||
| DOI | doi:10.1021/acs.jcim.8b00407Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 14613120 | Long-form Identifier | mindat:1:5:14613120:4 |
| GUID | 0 | ||
| Full Reference | Gong, Zheng, Wu, Yanze, Wu, Liang, Sun, Huai (2018) Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning. Journal of Chemical Information and Modeling, 58 (12) 2502-2516 doi:10.1021/acs.jcim.8b00407 | ||
| Plain Text | Gong, Zheng, Wu, Yanze, Wu, Liang, Sun, Huai (2018) Predicting Thermodynamic Properties of Alkanes by High-Throughput Force Field Simulation and Machine Learning. Journal of Chemical Information and Modeling, 58 (12) 2502-2516 doi:10.1021/acs.jcim.8b00407 | ||
| In | (2018, December) Journal of Chemical Information and Modeling Vol. 58 (12) American Chemical Society (ACS) | ||
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