Reduction of nonlinear embedded boundary models for problems with evolving interfaces. - Maciej Balajewicz; Charbel Farhat (J. Comput. Phys., 2014)

Reduced Order Models for Pricing American Options under Stochastic Volatility and Jump-Diffusion Models. - Maciej Balajewicz; Jari Toivanen (ICCS, 2016)

Minimal subspace rotation on the Stiefel manifold for stabilization and enhancement of projection-based reduced order models for the compressible Navier-Stokes equations. - Maciej Balajewicz; Irina Tezaur; Earl H. Dowell (J. Comput. Phys., 2016)

Lagrangian basis method for dimensionality reduction of convection dominated nonlinear flows. - Rambod Mojgani; Maciej Balajewicz (CoRR, 2017)

Reduced order models for pricing European and American options under stochastic volatility and jump-diffusion models. - Maciej Balajewicz; Jari Toivanen (J. Comput. Sci., 2017)

Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems. - Francisco J. Gonzalez; Maciej Balajewicz (CoRR, 2018)

A study of the regularized lid-driven cavity's progression to chaos. - Michael W. Lee; Earl H. Dowell; Maciej Balajewicz (Commun. Nonlinear Sci. Numer. Simul., 2019)

Physics-aware registration based auto-encoder for convection dominated PDEs. - Rambod Mojgani; Maciej Balajewicz (CoRR, 2020)

Low-Rank Registration Based Manifolds for Convection-Dominated PDEs. - Rambod Mojgani; Maciej Balajewicz (AAAI, 2021)

Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks. - Rambod Mojgani; Maciej Balajewicz; Pedram Hassanzadeh (CoRR, 2022)

Efficient Transonic Aeroelastic Model Reduction Using Optimized Sparse Multi-Input Polynomial Functionals. - Michael Candon; Maciej Balajewicz; Arturo Delgado-Gutiérrez; Pier Marzocca; Earl H. Dowell (CoRR, 2024)