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ORCIDIonut-Gabriel Farcas
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2020 – today
- 2024
[i8]Constatin Gahr, Ionut-Gabriel Farcas, Frank Jenko:
Learning physics-based reduced models from data for the Hasegawa-Wakatani equations. CoRR abs/2401.05972 (2024)- [i7]Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox:
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engine. CoRR abs/2407.09994 (2024) - 2023
- [i6]Ionut-Gabriel Farcas, Rayomand P. Gundevia, Ramakanth Munipalli, Karen E. Willcox:
Improving the accuracy and scalability of large-scale physics-based data-driven reduced modeling via domain decomposition. CoRR abs/2311.00883 (2023) - 2022
- [j5]Julia Konrad
, Ionut-Gabriel Farcas, Benjamin Peherstorfer, Alessandro Di Siena, Frank Jenko, Tobias Neckel, Hans-Joachim Bungartz:
Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis. J. Comput. Phys. 451: 110898 (2022) - [j4]Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced Operator Inference for Nonlinear Partial Differential Equations. SIAM J. Sci. Comput. 44(4): 1934- (2022) - [i5]Ionut-Gabriel Farcas, Gabriele Merlo, Frank Jenko:
A general framework for quantifying uncertainty at scale and its application to fusion research. CoRR abs/2202.03999 (2022) - [i4]Ionut-Gabriel Farcas, Benjamin Peherstorfer, Tobias Neckel, Frank Jenko, Hans-Joachim Bungartz:
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification. CoRR abs/2211.10835 (2022) - 2021
- [i3]Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox:
Reduced operator inference for nonlinear partial differential equations. CoRR abs/2102.00083 (2021) - 2020
- [b1]Ionut-Gabriel Farcas:
Context-aware Model Hierarchies for Higher-dimensional Uncertainty Quantification (Kontextsensitive Modellhierarchien für Quantifizierung der höherdimensionalen Unsicherheit). Technical University of Munich, Germany, 2020 - [j3]Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel:
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. J. Comput. Phys. 410: 109394 (2020) - [j2]Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz:
Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems. SIAM J. Sci. Comput. 42(1): A424-A451 (2020)
2010 – 2019
- 2019
- [i2]Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz:
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems. CoRR abs/1904.12204 (2019) - 2018
- [j1]Ionut-Gabriel Farcas, Benjamin Uekermann, Tobias Neckel, Hans-Joachim Bungartz:
Nonintrusive Uncertainty Analysis of Fluid-Structure Interaction with Spatially Adaptive Sparse Grids and Polynomial Chaos Expansion. SIAM J. Sci. Comput. 40(2) (2018) - [i1]Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel:
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. CoRR abs/1812.00080 (2018) - 2014
- [c2]Roxana Cucu, Camelia Avram, Adina Astilean, Ionut-Gabriel Farcas, José Machado:
E-health decision support system for differential diagnosis. AQTR 2014: 1-6 - [c1]Ionut-Gabriel Farcas:
Comparison of Numerical Methods in Uncertainty Quantification. GI-Jahrestagung 2014: 2413-2424
Coauthor Index
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