Παρακολούθηση
Romit Maulik
Romit Maulik
Assistant Professor - Pennsylvania State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα psu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
3002019
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
2202021
A neural network approach for the blind deconvolution of turbulent flows
R Maulik, O San
Journal of Fluid Mechanics 831, 151-181, 2017
2152017
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
1482019
Neural network closures for nonlinear model order reduction
O San, R Maulik
Advances in Computational Mathematics 44 (6), 1717-1750, 2018
1402018
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
1222020
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
101*2020
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
R Maulik, O San, A Rasheed, P Vedula
Physics of Fluids 30 (12), 2018
1012018
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
1002021
Extreme learning machine for reduced order modeling of turbulent geophysical flows
O San, R Maulik
Physical Review E 97 (4), 042322, 2018
962018
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
90*2021
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
872019
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
722020
Machine learning closures for model order reduction of thermal fluids
O San, R Maulik
Applied Mathematical Modelling 60, 681-710, 2018
702018
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
602021
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
472020
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
362022
Simple, low-cost and accurate data-driven geophysical forecasting with learned kernels
B Hamzi, R Maulik, H Owhadi
Proceedings of the Royal Society A 477 (2252), 20210326, 2021
30*2021
Non-autoregressive time-series methods for stable parametric reduced-order models
R Maulik, B Lusch, P Balaprakash
Physics of Fluids 32 (8), 2020
302020
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
292021
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