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Ionuț-Gabriel Farcaș · Study

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Ionuț-Gabriel Farcaș

4 works· latest 2023· 2 institutionscluster: provisionalORCID 0000-0002-3884-1580

h-index4

i104

Citations66

Works here4

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23

Most cited in this library

Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis2021 · 19 citations
A general framework for quantifying uncertainty at scale2022 · 17 citations
Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification2023 · 17 citations
Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis2020 · 13 citations

Works

4 shown

Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification

Computer Methods in Applied Mechanics and Engineering·2023·5 authors·Open access

17citations

A general framework for quantifying uncertainty at scale

Communications Engineering·2022·3 authors·Open access

17citations

Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis

Journal of Computational Physics·2021·7 authors·Open access

19citations

Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis

Journal of Computational Physics·2020·5 authors·Open access

13citations