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NOPP-Supported Publications
2019
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Ali, W.H., M.H. Mirhi, A. Gupta, C.S. Kulkarni, C. Foucart, M.M. Doshi, D.N. Subramani, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2019. SeaVizKit: Interactive Maps for Ocean Visualization. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962794
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Kulkarni, C.S. and P.F.J. Lermusiaux, 2019. Advection without Compounding Errors through Flow Map Composition. Journal of Computational Physics, 398, 108859. doi:10.1016/j.jcp.2019.108859
2018
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Foucart, C., C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2018. Distributed Implementation and Verification of Hybridizable Discontinuous Galerkin Methods for Nonhydrostatic Ocean Processes. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604679
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Deluca, S., B. Rocchio, C. Foucart, C. Mirabito, S. Zanforlin, P.J. Haley, and P.F.J. Lermusiaux, 2018. Scalable Coupled Ocean and Water Turbine Modeling for Assessing Ocean Energy Extraction. In: Oceans '18 MTS/IEEE Charleston, 22-25 October 2018. doi:10.1109/oceans.2018.8604646
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Aoussou, J., J. Lin, and P.F.J. Lermusiaux, 2018. Iterated Pressure-Correction Projection Methods for the Unsteady Incompressible Navier-Stokes Equations. Journal of Computational Physics, 373, 940–974. doi:10.1016/j.jcp.2018.06.062
2017
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Lermusiaux, P.F.J., D.N. Subramani, J. Lin, C.S. Kulkarni, A. Gupta, A. Dutt, T. Lolla, P.J. Haley Jr., W.H. Ali, C. Mirabito, and S. Jana, 2017. A Future for Intelligent Autonomous Ocean Observing Systems. The Sea. Volume 17, The Science of Ocean Prediction, Part 2, J. Marine Res. 75(6), pp. 765–813. https://doi.org/10.1357/002224017823524035
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Coulin, J., P. J. Haley, Jr., S. Jana, C.S. Kulkarni, P. F. J. Lermusiaux, T. Peacock, 2017. Environmental Ocean and Plume Modeling for Deep Sea Mining in the Bismarck Sea. In: Oceans '17 MTS/IEEE Anchorage, 1-10, 18-21 September 2017.
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Pinardi, N., L. Cavaleri, P. De Mey, C. Fratianni, I. Huthnance, P.F.J. Lermusiaux, A. Navarra, R. Preller, and S. Tibalidi, 2017. From Weather to Ocean Predictions: an Historical Viewpoint. The Sea. Volume 17, The Science of Ocean Prediction, Part 1, Special Issue, J. Marine Res. 75(3). pp. 103-159. https://doi.org/10.1357/002224017821836789
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Lermusiaux, P.F.J., P.J. Haley Jr., S. Jana, A. Gupta, C.S. Kulkarni, C. Mirabito,
W.H. Ali, D.N. Subramani, A. Dutt, J. Lin, A. Y. Shcherbina, C. M. Lee, and A. Gangopadhyay, 2017. Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography 30(2):172–185, https://doi.org/10.5670/oceanog.2017.242.
MIT Theses
- Kulkarni, C.S., 2021. Prediction, Analysis, and Learning of Advective Transport in Dynamic Fluid Flows. PhD Thesis, Massachusetts Institute of Technology, Mechanical Engineering, February 2021.
- Vo, J.H., 2017. Modeling Flow Encountering Abrupt Topography using Hybridizable Discontinuous Galerkin Projection Methods. SM thesis, Massachusetts Institute of Technology, Computation for Design and Optimization Graduate Program, Cambridge, MA, September 2017.
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Swezey, M., 2016. Ocean Acoustic Uncertainty for Submarine Applications. SM Thesis, Massachusetts Institute of Technology, MechE-USN Joint Program, June 2016.
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Aoussou, J.P., 2016. An Iterative Pressure-Correction Method for the Unsteady Incompressible Navier-Stokes Equation. SM Thesis, Massachusetts Institute of Technology, Computation for Design and Optimization Graduate Program, June 2016.
