Lim, Sangmin, Habchi, Charbel, and Jawed, Mohammad Khalid. Machine learning assisted resistive force theory for helical structures at low Reynolds number. Retrieved from https://par.nsf.gov/biblio/10465269. Journal of Fluids and Structures 122.C Web. doi:10.1016/j.jfluidstructs.2023.103963.
Lim, Sangmin, Habchi, Charbel, & Jawed, Mohammad Khalid. Machine learning assisted resistive force theory for helical structures at low Reynolds number. Journal of Fluids and Structures, 122 (C). Retrieved from https://par.nsf.gov/biblio/10465269. https://doi.org/10.1016/j.jfluidstructs.2023.103963
@article{osti_10465269,
place = {Country unknown/Code not available},
title = {Machine learning assisted resistive force theory for helical structures at low Reynolds number},
url = {https://par.nsf.gov/biblio/10465269},
DOI = {10.1016/j.jfluidstructs.2023.103963},
abstractNote = {},
journal = {Journal of Fluids and Structures},
volume = {122},
number = {C},
author = {Lim, Sangmin and Habchi, Charbel and Jawed, Mohammad Khalid},
}
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