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Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2021). Data-driven machine learning for accurate prediction and statistical quantification of two phase flow regimes. Journal of Petroleum Science and Engineering, 202, 108488. Lien externe
Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2021). Forecasting the evolution of chaotic dynamics of two-phase slug flow regime. Journal of Petroleum Science and Engineering, 205, 108904. Lien externe
Ali, N., Viggiano, B., Tutkun, M., & Cal, R. B. (2020). Cluster-based reduced-order descriptions of two phase flows. Chemical Engineering Science, 222, 115660. Lien externe
Hamilton, N., Viggiano, B., Calaf, M., Tutkun, M., & Cal, R. B. (2018). A generalized framework for reduced-order modeling of a wind turbine wake. Wind Energy, 21(6), 373-390. Lien externe
Viggiano, B., Tutkun, M., & Cal, R. B. (2019). Hessian-based topology of two-phase slug flow. International Journal of Multiphase Flow, 119, 84-94. Lien externe
Viggiano, B., Skjæraasen, O., Schümann, H., Tutkun, M., & Cal, R. B. (2018). Characterization of flow dynamics and reduced-order description of experimental two-phase pipe flow. International Journal of Multiphase Flow, 105, 91-101. Lien externe
Viggiano, B., Gion, M. S., Ali, N., Tutkun, M., & Cal, R. B. (2016). Inverse structure functions in the canonical wind turbine array boundary layer. Journal of Renewable and Sustainable Energy, 8(5), 053310. Lien externe
