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DEEP-AI Supported Publications
2024
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Charous, A. and P.F.J. Lermusiaux, 2024. Range-Dynamical Low-Rank Split-Step Fourier Method for the Parabolic Wave Equation. Journal of the Acoustical Society of America, sub-judice.
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Jana, S., A. Gangopadhyay, P.F.J. Lermusiaux, A. Chakraborty, and P.J. Haley, Jr., 2024. Impact of River Inputs on Sound Speed Structures in the Bay of Bengal. In: OCEANS '24 IEEE/MTS Singapore, 14–18 April 2024, in press.
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Ali, W.H., and P.F.J. Lermusiaux, 2024b. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic
Underwater Sound Propagation. Part II: Applications. Journal of the Acoustical Society of America 155(1), 656-672. doi:10.1121/10.0024474
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Ali, W.H., and P.F.J. Lermusiaux, 2024a. Dynamically Orthogonal Narrow-Angle Parabolic Equations for Stochastic Underwater Sound Propagation. Part I: Theory and Schemes. Journal of the Acoustical Society of America 155(1), 640-655. doi:10.1121/10.0024466
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Charous, A. and P.F.J. Lermusiaux, 2024. Stable Rank-adaptive Dynamically Orthogonal Runge-Kutta Schemes. SIAM Journal on Scientific Computing 46(1), A529-A560. doi:10.1137/22M1534948
2023
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Ali, W.H., A. Charous, C. Mirabito, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2023. MSEAS-ParEq for Ocean-Acoustic Modeling around the Globe. In: OCEANS '23 IEEE/MTS Gulf Coast, 25–28 September 2023. doi:10.23919/OCEANS52994.2023.10337377
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Charous, A. and P.F.J. Lermusiaux, 2023. Dynamically Orthogonal Runge–Kutta Schemes with Perturbative Retractions for the Dynamical Low-Rank Approximation. SIAM Journal on Scientific Computing 45(2): A872-A897. doi:10.1137/21M1431229
2022
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Humara, M.J., W.H. Ali, A. Charous, M. Bhabra, and P.F.J. Lermusiaux, 2022. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Differential Equations. In: OCEANS '22 IEEE/MTS Hampton Roads, 17–20 October 2022, pp. 1–10. doi:10.1109/OCEANS47191.2022.9977252
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Jana, S., A. Gangopadhyay, P.J. Haley, Jr., and P.F.J. Lermusiaux, 2022. Sound Speed Variability over Bay of Bengal from Argo Observations (2011-2020). In: OCEANS 2022 Chennai, February 21-24, 2022, pp. 1-8. doi:10.1109/OCEANSChennai45887.2022.9775509
MIT THESES
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Ali, W.H., 2023. Stochastic Dynamically Orthogonal Modeling and Bayesian Learning for Underwater Acoustic Propagation. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, September 2023.
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Charous, A., 2023. Dynamical Reduced-Order Models for High-Dimensional Systems. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Mechanical Engineering and Center for Computational Science and Engineering, June 2023.
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Charous, A., 2021. High-Order Retractions for Reduced-Order Modeling and Uncertainty Quantification. SM Thesis, Massachusetts Institute of Technology, Computational Science and Engineering, February 2021.
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Humara, M.J., 2020. Stochastic Acoustic Ray Tracing with Dynamically Orthogonal Equations. SM Thesis, Massachusetts Institute of Technology, Joint Program in Applied Ocean Science and Engineering, May 2020.
