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Maciej (Mike) Balajewicz
Maciej (Mike) Balajewicz
Sonstige NamenMike Balajewicz
Senior Staff Machine Learning Engineer, Realtor.com
Bestätigte E-Mail-Adresse bei maciejbalajewicz.com
Titel
Zitiert von
Zitiert von
Jahr
Low-dimensional modelling of high-Reynolds-number shear flows incorporating constraints from the Navier–Stokes equation
M Balajewicz, E Dowell, B Noack
Journal of Fluid Mechanics 729, 285-308, 2013
2002013
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
FJ Gonzalez, M Balajewicz
arXiv preprint arXiv:1808.01346, 2018
1552018
Reduced-order modeling of flutter and limit-cycle oscillations using the sparse Volterra series
M Balajewicz, E Dowell
Journal of Aircraft 49 (6), 1803-1812, 2012
115*2012
Minimal subspace rotation on the Stiefel manifold for stabilization and enhancement of projection-based reduced order models for the compressible Navier-Stokes equations
M Balajewicz, I Tezaur, E Dowell
Journal of Computational Physics 321, 224-241, 2016
962016
Identification strategies for model-based control
L Cordier, BR Noack, G Tissot, G Lehnasch, J Delville, M Balajewicz, ...
Experiments in fluids 54, 1-21, 2013
912013
Projection‐based model reduction for contact problems
M Balajewicz, D Amsallem, C Farhat
International Journal for Numerical Methods in Engineering 106 (8), 644-663, 2016
902016
Transported snapshot model order reduction approach for parametric, steady‐state fluid flows containing parameter‐dependent shocks
NJ Nair, M Balajewicz
International Journal for Numerical Methods in Engineering 117 (12), 1234-1262, 2019
832019
Application of multi-input Volterra theory to nonlinear multi-degree-of-freedom aerodynamic systems
M Balajewicz, F Nitzsche, D Feszty
AIAA Journal 48 (1), 56-62, 2010
732010
Stabilization of projection-based reduced order models of the Navier–Stokes equations
M Balajewicz, E Dowell
Nonlinear Dynamics 70 (2), 1619-1632, 2012
702012
Lagrangian basis method for dimensionality reduction of convection dominated nonlinear flows
R Mojgani, M Balajewicz
arXiv preprint arXiv:1701.04343, 2017
602017
Reduction of nonlinear embedded boundary models for problems with evolving interfaces
M Balajewicz, F Charbel
Journal of Computational Physics 274, 489 - 504, 2014
382014
Reduced order models for pricing European and American options under stochastic volatility and jump-diffusion models
M Balajewicz, J Toivanen
Journal of Computational Science 20, 198-204, 2017
37*2017
Physics-aware registration based auto-encoder for convection dominated PDEs
R Mojgani, M Balajewicz
arXiv preprint arXiv:2006.15655, 2020
262020
Reduced Order Models for Pricing European and American Options under Stochastic Volatility and Jump-Diffusion Models
M Balajewicz, J Toivanen
https://arxiv.org/abs/1612.00402, 2016
262016
Kolmogorov n–width and Lagrangian physics-informed neural networks: a causality-conforming manifold for convection-dominated PDEs
R Mojgani, M Balajewicz, P Hassanzadeh
Computer Methods in Applied Mechanics and Engineering 404, 115810, 2023
252023
Lagrangian pinns: A causality-conforming solution to failure modes of physics-informed neural networks
R Mojgani, M Balajewicz, P Hassanzadeh
arXiv preprint arXiv:2205.02902, 2022
192022
Learning low-dimensional feature dynamics using deep convolutional recurrent autoencoders
FJ Gonzalez, M Balajewicz
arXiv preprint arXiv:1808.01346, 2018
192018
Low-rank registration based manifolds for convection-dominated PDEs
R Mojgani, M Balajewicz
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 399-407, 2021
152021
A new approach to model order reduction of the Navier-Stokes equations
M Balajewicz
Duke University, 2012
152012
Control-oriented model identification strategy
L Cordier, BR Noack, G Daviller, J Delvile, G Lehnasch, G Tissot, ...
Exp. Fluids 54 (8), 1580, 2013
142013
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