Traian Iliescu

66 papers Journal 65Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	StabOp: A Data-Driven Stabilization Operator for Reduced Order Modeling. CoRR Ping-Hsuan Tsai, Anna Ivagnes, Annalisa Quaini, Traian Iliescu, Gianluigi Rozza
2025	J	`jnl`	A Priori Error Bounds and Parameter Scalings for the Time-Relaxation Reduced Order Model. SIAM J. Numer. Anal. Jorge Reyes, Ping-Hsuan Tsai, Julia Novo, Traian Iliescu
2025	J	`jnl`	A time-relaxation reduced order model for the turbulent channel flow. J. Comput. Phys. Ping-Hsuan Tsai, Paul Fischer, Traian Iliescu
2025	J	`jnl`	Data-driven Optimization for the Evolve-Filter-Relax regularization of convection-dominated flows. CoRR Anna Ivagnes, Maria Strazzullo, Michele Girfoglio, Traian Iliescu, Gianluigi Rozza
2025	J	`jnl`	Defining Foundation Models for Computational Science: A Call for Clarity and Rigor. CoRR Youngsoo Choi, Siu Wun Cheung, Youngkyu Kim, Ping-Hsuan Tsai, Alejandro N. Diaz, Ivan Zanardi, Seung Whan Chung, Dylan Matthew Copeland, Coleman Kendrick, William Anderson, Traian Iliescu, Matthias Heinkenschloss
2025	J	`jnl`	Residual-based data-driven variational multiscale reduced order models for parameter-dependent problems. Comput. Appl. Math. Birgul Koc, Samuele Rubino, Tomás Chacón Rebollo, Traian Iliescu
2025	J	`jnl`	Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows. CoRR Simone Manti, Ping-Hsuan Tsai, Alessandro Lucantonio, Traian Iliescu
2025	J	`jnl`	Symbolic regression of data-driven reduced order model closures for under-resolved, convection-dominated flows. J. Comput. Phys. Simone Manti, Ping-Hsuan Tsai, Alessandro Lucantonio, Traian Iliescu
2025	J	`jnl`	Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models. CoRR Jorge Reyes, Ping-Hsuan Tsai, Ian Moore, Honghu Liu, Traian Iliescu
2025	J	`jnl`	Verifiability and Limit Consistency of Eddy Viscosity Large Eddy Simulation Reduced Order Models. J. Sci. Comput. Jorge Reyes, Ping-Hsuan Tsai, Ian Moore, Honghu Liu, Traian Iliescu
2024	J	`jnl`	A Priori Error Bounds and Parameter Scalings for the Time Relaxation Reduced Order Model. CoRR Jorge Reyes, Ping-Hsuan Tsai, Julia Novo, Traian Iliescu
2024	J	`jnl`	A Priori Error Bounds for POD-ROMs for Fluids: A Brief Survey. CoRR Francesco Ballarin, Traian Iliescu
2024	J	`jnl`	A Priori Error Bounds for the Approximate Deconvolution Leray Reduced Order Model. CoRR Ian Moore, Anna Sanfilippo, Francesco Ballarin, Traian Iliescu
2024	J	`jnl`	Bridging Large Eddy Simulation and Reduced Order Modeling of Convection-Dominated Flows through Spatial Filtering: Review and Perspectives. CoRR Annalisa Quaini, Omer San, Alessandro Veneziani, Traian Iliescu
2024	J	`jnl`	Variational Multiscale Evolve and Filter Strategies for Convection-Dominated Flows. CoRR Maria Strazzullo, Francesco Ballarin, Traian Iliescu, Tomás Chacón Rebollo
2023	J	`jnl`	A Time-Relaxation Reduced Order Model for the Turbulent Channel Flow. CoRR Ping-Hsuan Tsai, Paul Fischer, Traian Iliescu
2023	J	`jnl`	A numerical comparison of simplified Galerkin and machine learning reduced order models for vaginal deformations. Comput. Math. Appl. William Snyder, Alex Santiago Anaya, Justin Krometis, Traian Iliescu, Raffaella De Vita
2023	J	`jnl`	An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems. J. Comput. Phys. Changhong Mou, Nan Chen, Traian Iliescu
2023	J	`jnl`	Approximate Deconvolution Leray Reduced Order Model for Convection-Dominated Flows. CoRR Anna Sanfilippo, Ian Moore, Francesco Ballarin, Traian Iliescu
2023	J	`jnl`	Hybrid data-driven closure strategies for reduced order modeling. Appl. Math. Comput. Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
2023	J	`jnl`	New Feedback Control and Adaptive Evolve-Filter-Relax Regularization for the Navier-Stokes Equations in the Convection-Dominated Regime. CoRR Maria Strazzullo, Francesco Ballarin, Traian Iliescu, Claudio Canuto
2023	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. SIAM J. Sci. Comput. Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2023	J	`jnl`	Pressure data-driven variational multiscale reduced order models. J. Comput. Phys. Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
2023	J	`jnl`	Residual-based stabilized reduced-order models of the transient convection-diffusion-reaction equation obtained through discrete and continuous projection. CoRR Eric J. Parish, Masayuki Yano, Irina Tezaur, Traian Iliescu
2022	J	`jnl`	A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. CoRR Dylan Park, Changhong Mou, Honghu Liu, Adrian Sandu, Traian Iliescu
2022	J	`jnl`	An Efficient Data-Driven Multiscale Stochastic Reduced Order Modeling Framework for Complex Systems. CoRR Changhong Mou, Nan Chen, Traian Iliescu
2022	J	`jnl`	An Energy-Based Lengthscale for Reduced Order Models of Turbulent Flows. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2022	J	`jnl`	Hybrid Data-Driven Closure Strategies for Reduced Order Modeling. CoRR Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
2022	J	`jnl`	Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, Alessandro Veneziani
2022	J	`jnl`	Pressure Data-Driven Variational Multiscale Reduced Order Models. CoRR Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza
2022	J	`jnl`	Reduced Order Model Closures: A Brief Tutorial. CoRR William Snyder, Changhong Mou, Honghu Liu, Omer San, Raffaella De Vita, Traian Iliescu
2022	J	`jnl`	Stochastic Data-Driven Variational Multiscale Reduced Order Models. CoRR Fei Lu, Changhong Mou, Honghu Liu, Traian Iliescu
2022	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. J. Sci. Comput. Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2021	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. SIAM J. Sci. Comput. Andrey A. Popov, Changhong Mou, Adrian Sandu, Traian Iliescu
2021	J	`jnl`	A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow. CoRR Changhong Mou, Elia Merzari, Omer San, Traian Iliescu
2021	J	`jnl`	Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows. CoRR Maria Strazzullo, Michele Girfoglio, Francesco Ballarin, Traian Iliescu, Gianluigi Rozza
2021	J	`jnl`	Full and Reduced Order Model Consistency of the Nonlinearity Discretization in Incompressible Flows. CoRR Sean Ingimarson, Leo G. Rebholz, Traian Iliescu
2021	J	`jnl`	Nonlinear proper orthogonal decomposition for convection-dominated flows. CoRR Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu
2021	J	`jnl`	On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. SIAM J. Numer. Anal. Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2021	J	`jnl`	Verifiability of the Data-Driven Variational Multiscale Reduced Order Model. CoRR Birgul Koc, Changhong Mou, Honghu Liu, Zhu Wang, Gianluigi Rozza, Traian Iliescu
2020	J	`jnl`	A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. CoRR Andrey A. Popov, Changhong Mou, Traian Iliescu, Adrian Sandu
2020	J	`jnl`	An Artificial Compression Reduced Order Model. SIAM J. Numer. Anal. Victor P. DeCaria, Traian Iliescu, William J. Layton, Michael McLaughlin, Michael Schneier
2020	J	`jnl`	Data-Driven Variational Multiscale Reduced Order Models. CoRR Changhong Mou, Birgul Koc, Omer San, Traian Iliescu
2020	J	`jnl`	On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. CoRR Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2020	J	`jnl`	Reduced Order Models for the Quasi-Geostrophic Equations: A Brief Survey. CoRR Changhong Mou, Zhu Wang, David R. Wells, Xuping Xie, Traian Iliescu
2019	J	`jnl`	A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu
2019	J	`jnl`	An Evolve-Filter-Relax Stabilized Reduced Order Stochastic Collocation Method for the Time-Dependent Navier-Stokes Equations. SIAM/ASA J. Uncertain. Quantification Max D. Gunzburger, Traian Iliescu, Muhammad Mohebujjaman, Michael Schneier
2019	J	`jnl`	Commutation error in reduced order modeling of fluid flows. Adv. Comput. Math. Birgul Koc, Muhammad Mohebujjaman, Changhong Mou, Traian Iliescu
2019	J	`jnl`	Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation. CoRR Changhong Mou, Honghu Liu, David R. Wells, Traian Iliescu
2018	J	`jnl`	Data-Driven Filtered Reduced Order Modeling of Fluid Flows. SIAM J. Sci. Comput. Xuping Xie, Muhammad Mohebujjaman, Leo G. Rebholz, Traian Iliescu
2018	J	`jnl`	Numerical analysis of the Leray reduced order model. J. Comput. Appl. Math. Xuping Xie, David R. Wells, Zhu Wang, Traian Iliescu
2017	J	`jnl`	Energy balance and mass conservation in reduced order models of fluid flows. J. Comput. Phys. Muhammad Mohebujjaman, Leo G. Rebholz, Xuping Xie, Traian Iliescu
2016	J	`jnl`	Approximate partitioned method of snapshots for POD. J. Comput. Appl. Math. Zhu Wang, Brian McBee, Traian Iliescu
2015	J	`jnl`	A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation. Adv. Comput. Math. Omer San, Traian Iliescu
2014	J	`jnl`	A numerical investigation of velocity-pressure reduced order models for incompressible flows. J. Comput. Phys. Alfonso Caiazzo, Traian Iliescu, Volker John, Swetlana Schyschlowa
2014	J	`jnl`	Are the Snapshot Difference Quotients Needed in the Proper Orthogonal Decomposition? SIAM J. Sci. Comput. Traian Iliescu, Zhu Wang
2013	J	`jnl`	A two-level finite element discretization of the streamfunction formulation of the stationary quasi-geostrophic equations of the ocean. Comput. Math. Appl. Erich L. Foster, Traian Iliescu, David R. Wells
2013	J	`jnl`	Variational multiscale proper orthogonal decomposition: Convection-dominated convection-diffusion-reaction equations. Math. Comput. Traian Iliescu, Zhu Wang
2011	J	`jnl`	Artificial viscosity proper orthogonal decomposition. Math. Comput. Model. Jeff Borggaard, Traian Iliescu, Zhu Wang
2011	J	`jnl`	Horizontal Large Eddy Simulation of Stratified Mixing in a Lock-Exchange System. J. Sci. Comput. Luigi C. Berselli, Paul F. Fischer, Traian Iliescu, Tamay M. Özgökmen
2011	J	`jnl`	Two-level discretizations of nonlinear closure models for proper orthogonal decomposition. J. Comput. Phys. Zhu Wang, Imran Akhtar, Jeff Borggaard, Traian Iliescu
2010	J	`jnl`	Bridging the Boussinesq and primitive equations through spatio-temporal filtering. Appl. Math. Lett. Jinqiao Duan, Paul F. Fischer, Traian Iliescu, Tamay M. Özgökmen
2008	J	`jnl`	A Bounded Artificial Viscosity Large Eddy Simulation Model. SIAM J. Numer. Anal. Jeff Borggaard, Traian Iliescu, John Paul Roop
2008	J	`jnl`	A Two-Level Discretization Method for the Smagorinsky Model. Multiscale Model. Simul. Jeff Borggaard, Traian Iliescu, Hyesuk Lee, John Paul Roop, Hyunjin Son
2006	—	`conf`	A Domain Decomposition Approach to POD. CDC Christopher A. Beattie, Jeff Borggaard, Serkan Gugercin, Traian Iliescu
2006	J	`jnl`	Approximate deconvolution boundary conditions for large eddy simulation. Appl. Math. Lett. Jeff Borggaard, Traian Iliescu