Articles with public access mandates - Efthymios N. KaratzasLearn more
Available somewhere: 7
Projection-based reduced order models for a cut finite element method in parametrized domains
EN Karatzas, F Ballarin, G Rozza
Computers & Mathematics with Applications 79 (3), 833-851, 2020
Mandates: European Commission, Government of Italy
A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow
EN Karatzas, G Stabile, L Nouveau, G Scovazzi, G Rozza
Computer Methods in Applied Mechanics and Engineering 347, 568-587, 2019
Mandates: US Department of Energy, US Department of Defense, European Commission …
A reduced-order shifted boundary method for parametrized incompressible Navier–Stokes equations
EN Karatzas, G Stabile, L Nouveau, G Scovazzi, G Rozza
Computer Methods in Applied Mechanics and Engineering 370, 113273, 2020
Mandates: US Department of Energy, US Department of Defense, European Commission …
A reduced order approach for the embedded shifted boundary FEM and a heat exchange system on parametrized geometries
EN Karatzas, G Stabile, N Atallah, G Scovazzi, G Rozza
IUTAM Symposium on Model Order Reduction of Coupled Systems, Stuttgart …, 2020
Mandates: US Department of Energy, US Department of Defense, European Commission …
A reduced order model for a stable embedded boundary parametrized Cahn–Hilliard phase-field system based on cut finite elements
EN Karatzas, G Rozza
Journal of Scientific Computing 89 (1), 9, 2021
Mandates: European Commission, Government of Italy
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method
X Zeng, G Stabile, EN Karatzas, G Scovazzi, G Rozza
Computer Methods in Applied Mechanics and Engineering 398, 115143, 2022
Mandates: US National Science Foundation, US Department of Defense, Netherlands …
A reduced order cut finite element method for geometrically parametrized steady and unsteady Navier–Stokes problems
EN Karatzas, M Nonino, F Ballarin, G Rozza
Computers & Mathematics with Applications 116, 140-160, 2022
Mandates: Austrian Science Fund, European Commission, Government of Italy
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