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CALYPSO Supported Publications
2022
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Foucart, C., A. Charous, and P.F.J. Lermusiaux, 2022. Deep Reinforcement Learning for Adaptive Mesh Refinement. Journal of Computational Physics, sub-judice.
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Ali, W.H., Y. Gao, C. Foucart, M. Doshi, C. Mirabito, P.J. Haley, and P.F.J. Lermusiaux, 2022. High-Performance Visualization for Ocean Modeling. In: OCEANS '22 IEEE/MTS Hampton Roads, 17-21 October 2022, in press.
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Garcia-Jove, M., B. Mourre, N.D. Zarokanellos, P.F.J. Lermusiaux, D.L. Rudnick, J. Tintoré, 2022. Frontal Dynamics in the Alboran Sea: 2. Processes for Vertical Velocities Development. Journal of Geophysical Research: Oceans 127(3): e2021JC017428. doi:10.1029/2021JC017428
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Aravind, H.M., V. Verma, S. Sarkar, M.A. Freilich, A. Mahadevan, P.J. Haley Jr., P.F.J. Lermusiaux, and M.R. Allshouse, 2022. Lagrangian Surface Signatures Reveal Upper-Ocean Vertical Displacement Conduits Near Oceanic Density Fronts. Ocean Modelling, in press.
2019
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Lermusiaux, P.F.J., M. Doshi, C.S. Kulkarni, A. Gupta, P.J. Haley, Jr., C. Mirabito, F. Trotta, S.J. Levang, G.R. Flierl, J. Marshall, T. Peacock, and C. Noble, 2019. Plastic Pollution in the Coastal Oceans: Characterization and Modeling. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi: 10.23919/OCEANS40490.2019.8962786
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Doshi, M.M., C.S. Kulkarni, W.H. Ali, A. Gupta, P.F.J. Lermusiaux, P. Zhan, I. Hoteit, and O.M. Knio, 2019. Flowmaps and Coherent Sets for Characterizing Residence Times and Connectivity in Lagoons and Coral Reefs: The Case of the Red Sea. In: OCEANS '19 MTS/IEEE Seattle, 27-31 October 2019, doi:10.23919/OCEANS40490.2019.8962643
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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
MIT THESES
- Gkirgkis, K.A., 2021. Stochastic Ocean Forecasting with the Dynamically Orthogonal Primitive Equations. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, June 2021.
- Doshi, M, 2021. Energy-Time Optimal Path Planning in Strong Dynamic Flows. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, February 2021.
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Foucart, C., 2019. Efficient Matrix-Free Implementation and Automated Verification of Hybridizable Discontinuous Galerkin Finite Element Methods. SM Thesis, Massachusetts Institute of Technology, Mechanical Engineering, June 2019.
