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Journal of Contaminant Hydrology|January 26, 2019
Modeling fate and transport of hydraulic fracturing fluid in the presence of abandoned wellsReza Taherdangkoo, Alexandru Tatomir, Tega Anighoro, et al.Scientific Reports|May 15, 2024
A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fieldsGhazal Kooti, Bahram Dabir, Christoph Butscher, et al.The Science of the Total Environment|June 11, 2026
Physics audited and uncertainty aware surrogate modeling for reactive nitrate transport in groundwaterAlireza Arab, Traugott Scheytt, Thomas Nagel, et al.Scientific Reports|November 19, 2023
Modelling droplet size distribution in inline electrostatic coalescers for improved crude oil processingGhazal Kooti, Bahram Dabir, Reza Taherdangkoo, et al.Journal of Contaminant Hydrology|October 25, 2021
Gaussian process regression to determine water content of methane: Application to methane transport modelingReza Taherdangkoo, Huichen Yang, Mohammadreza Akbariforouz, et al.Journal of Contaminant Hydrology|June 10, 2021
Predicting methane solubility in water and seawater by machine learning algorithms: Application to methane transport modelingReza Taherdangkoo, Quan Liu, Yixuan Xing, et al.Pageof 1