Ionut-Gabriel Farcas

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Spatially Adaptive

Monte Carlo Sampling

Decision Support

Nonlinear Partial Differential Equations

Top Venues

SIAM J. Sci. Comput.

J. Comput. Phys.

Publications

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 (2024)
Constatin Gahr, Ionut-Gabriel Farcas, Frank Jenko
Learning physics-based reduced models from data for the Hasegawa-Wakatani equations. CoRR (2024)
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 (2023)
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 (2022)
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 (2022)
Ionut-Gabriel Farcas, Gabriele Merlo, Frank Jenko
A general framework for quantifying uncertainty at scale and its application to fusion research. CoRR (2022)
Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
Reduced Operator Inference for Nonlinear Partial Differential Equations. SIAM J. Sci. Comput. 44 (4) (2022)
Elizabeth Qian, Ionut-Gabriel Farcas, Karen Willcox
Reduced operator inference for nonlinear partial differential equations. CoRR (2021)
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 (2020)
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) (2020)
Ionut-Gabriel Farcas, Jonas Latz, Elisabeth Ullmann, Tobias Neckel, Hans-Joachim Bungartz
Multilevel adaptive sparse Leja approximations for Bayesian inverse problems. CoRR (2019)
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)
Ionut-Gabriel Farcas, Tobias Görler, Hans-Joachim Bungartz, Frank Jenko, Tobias Neckel
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis. CoRR (2018)
Ionut-Gabriel Farcas
Comparison of Numerical Methods in Uncertainty Quantification. GI-Jahrestagung (2014)
Roxana Cucu, Camelia Avram, Adina Astilean, Ionut-Gabriel Farcas, José Machado
E-health decision support system for differential diagnosis. AQTR (2014)