Concepedia

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

Julia Konrad, Ionuț-Gabriel Farcaș, Benjamin Peherstorfer, A. Di Siena, F. Jenko, Tobias Neckel, Hans‐Joachim Bungartz

Journal of Computational Physics · 2021 · 18 citations · 38 references

Open access

Concepts

Natural SciencesComputational EngineeringPhysicsComputational PhysicsPlasma PhysicsUncertainty QuantificationMonte Carlo MethodsMonte Carlo SimulationPlasma SimulationPlasma TurbulenceTurbulenceTurbulent FlowData-driven Turbulence ModelingMonte Carlo SamplingTurbulence In High-temperature PlasmasTurbulence ModelingTurbulence ModellingTurbulence StatisticsTurbulent Flow Modeling

References

38

Pattern Recognition and Machine Learning

Journal of Electronic Imaging · 2007 · 22.1K citations

Computing, Computer Engineering, Computer Science +14

Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates

I. M. Sobol · Mathematics and Computers in Simulation · 2001 · 6.1K citations

Business, Biostatistics, Mathematics +15

Global sensitivity analysis using polynomial chaos expansions

Bruno Sudret · Reliability Engineering & System Safety · 2007 · 2.4K citations

Natural Sciences, Computational Engineering, Mathematics +12

A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data

Ivo Babuška, Fabio Nobile, Raúl Tempone · SIAM Journal on Numerical Analysis · 2007 · 1.4K citations · Full text

Computing, Computational Engineering, Probability Theory +16

Pattern Recognition and Machine Learning

John H. Maindonald · Journal of Statistical Software · 2007 · 1.4K citations · Full text

Computing, Computer Engineering, Computer Science +14