מאמרים עם הרשאות לגישה ציבורית - Romit Maulikלמידע נוסף
זמינים באתר כלשהו: 58
Subgrid modelling for two-dimensional turbulence using neural networks
R Maulik, O San, A Rasheed, P Vedula
Journal of Fluid Mechanics 858, 122-144, 2019
הרשאות: US Department of Energy, US National Aeronautics and Space Administration …
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
R Maulik, B Lusch, P Balaprakash
Physics of Fluids 33 (3), 2021
הרשאות: US Department of Energy
An artificial neural network framework for reduced order modeling of transient flows
O San, R Maulik, M Ahmed
Communications in Nonlinear Science and Numerical Simulation 77, 271-287, 2019
הרשאות: US Department of Energy
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
K Fukami, R Maulik, N Ramachandra, K Fukagata, K Taira
Nature Machine Intelligence 3 (11), 945-951, 2021
הרשאות: US Department of Energy, US Department of Defense
Time-series learning of latent-space dynamics for reduced-order model closure
R Maulik, A Mohan, B Lusch, S Madireddy, P Balaprakash, D Livescu
Physica D: Nonlinear Phenomena 405, 132368, 2020
הרשאות: US Department of Energy
Probabilistic neural networks for fluid flow surrogate modeling and data recovery
R Maulik, K Fukami, N Ramachandra, K Fukagata, K Taira
Physical Review Fluids 5 (10), 104401, 2020
הרשאות: US Department of Energy, US Department of Defense
A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations
R Maulik, H Sharma, S Patel, B Lusch, E Jennings
Computers & Fluids 227, 104777, 2021
הרשאות: US Department of Energy
Extreme learning machine for reduced order modeling of turbulent geophysical flows
O San, R Maulik
Physical Review E 97 (4), 042322, 2018
הרשאות: US National Science Foundation
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
R Maulik, O San, A Rasheed, P Vedula
Physics of Fluids 30 (12), 2018
הרשאות: US Department of Energy
Sub-grid scale model classification and blending through deep learning
R Maulik, O San, JD Jacob, C Crick
Journal of Fluid Mechanics 870, 784-812, 2019
הרשאות: US Department of Energy
Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil
SA Renganathan, R Maulik, V Rao
Physics of Fluids 32 (4), 2020
הרשאות: US Department of Energy
Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization
SA Renganathan, R Maulik, J Ahuja
Aerospace Science and Technology 111, 106522, 2021
הרשאות: US Department of Energy
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems
AJ Linot, JW Burby, Q Tang, P Balaprakash, MD Graham, R Maulik
Journal of Computational Physics 474, 111838, 2023
הרשאות: US Department of Energy
Recurrent neural network architecture search for geophysical emulation
R Maulik, R Egele, B Lusch, P Balaprakash
SC20: International Conference for High Performance Computing, Networking …, 2020
הרשאות: US Department of Energy
Autodeuq: Automated deep ensemble with uncertainty quantification
R Egele, R Maulik, K Raghavan, B Lusch, I Guyon, P Balaprakash
2022 26th International Conference on Pattern Recognition (ICPR), 1908-1914, 2022
הרשאות: US Department of Energy
Data-driven wind turbine wake modeling via probabilistic machine learning
S Ashwin Renganathan, R Maulik, S Letizia, GV Iungo
Neural Computing and Applications, 1-16, 2022
הרשאות: US National Science Foundation, US Department of Energy
Scaling transformers for skillful and reliable medium-range weather forecasting
T Nguyen, R Shah, H Bansal, T Arcomano, S Madireddy, R Maulik, ...
ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024
הרשאות: US Department of Energy
Fast neural Poincaré maps for toroidal magnetic fields
JW Burby, Q Tang, R Maulik
Plasma Physics and Controlled Fusion 63 (2), 024001, 2020
הרשאות: US Department of Energy
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation
R Maulik, T Botsas, N Ramachandra, LR Mason, I Pan
Physica D: Nonlinear Phenomena 416, 132797, 2021
הרשאות: US Department of Energy, UK Engineering and Physical Sciences Research …
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression
M Morimoto, K Fukami, R Maulik, R Vinuesa, K Fukagata
Physica D: Nonlinear Phenomena 440, 133454, 2022
הרשאות: US Department of Energy
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