Machine Learning-Based Prediction of Phase Equilibria and Interfacial Properties of Multicomponent CO(2) Mixtures with Impurities: Application to CO(2) Transportation.
- DOI
- 10.1021/acs.iecr.6c03388
- Published
- 2026 Sep 9
- Container
- Industrial & engineering chemistry research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acs.iecr.6c03388,
title = {Machine Learning-Based Prediction of Phase Equilibria and Interfacial Properties of Multicomponent CO(2) Mixtures with Impurities: Application to CO(2) Transportation.},
author = {Raju D and Skartlien R and Ramdin M and Vlugt TJH},
year = {2026},
journal = {Industrial \& engineering chemistry research},
doi = {10.1021/acs.iecr.6c03388},
url = {https://doi.org/10.1021/acs.iecr.6c03388}
}RIS
TY - JOUR TI - Machine Learning-Based Prediction of Phase Equilibria and Interfacial Properties of Multicomponent CO(2) Mixtures with Impurities: Application to CO(2) Transportation. AU - Raju D AU - Skartlien R AU - Ramdin M AU - Vlugt TJH PY - 2026 JO - Industrial & engineering chemistry research DO - 10.1021/acs.iecr.6c03388 UR - https://doi.org/10.1021/acs.iecr.6c03388 ER -
APA
D, R., R, S., M, R., & TJH, V. (2026). Machine Learning-Based Prediction of Phase Equilibria and Interfacial Properties of Multicomponent CO(2) Mixtures with Impurities: Application to CO(2) Transportation.. Industrial & engineering chemistry research. https://doi.org/10.1021/acs.iecr.6c03388
Source records
- pubmed · retrieved 2026-09-25T19:31:14.250Z