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Sergey Oladyshkin (1980-)

Ingenieur

Name	Sergey Oladyshkin
Zeit	1980- (Lebensdaten)
Ort	Nischni Nowgorod (Geburtsort) Russland Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr.-Ing. habil
Beruf	Ingenieur (charakteristischer Beruf)
Variante	S. Oladyshkin
Weitere Angaben	Habil. Stuttgart 2014, Stuttgart Research Centre for Simulation Technology (SRC SimTech)
Datensatztyp	Person
GND-Nummer	106896023X
Datensatz-ID	106896023X
Beteiligt an alle anzeigen Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems Stability criteria for Bayesian calibration of reservoir sedimentation models Bayesian calibration points to misconceptions in three‐dimensional hydrodynamic reservoir modeling Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems Information‐theoretic scores for Bayesian model selection and similarity analysis : concept and application to a groundwater problem Learning groundwater contaminant diffusion‐sorption processes with a finite volume neural network Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model Bayesian Calibration and Validation of a Large‐Scale and Time‐Demanding Sediment Transport Model Improving thermochemical energy storage dynamics forecast with physics-inspired neural network architecture Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario Efficient modeling of environmental systems in the face of complexity and uncertainty Efficient modeling of environmental systems in the face of complexity and uncertainty Hydrogen penetration in water through porous medium: application to a radioactive waste storage site

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Katalog der Deutschen Nationalbibliothek

Sergey Oladyshkin (1980-)

Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems

Stability criteria for Bayesian calibration of reservoir sedimentation models

Bayesian calibration points to misconceptions in three‐dimensional hydrodynamic reservoir modeling

Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes-Darcy flow problems

Information‐theoretic scores for Bayesian model selection and similarity analysis : concept and application to a groundwater problem

Learning groundwater contaminant diffusion‐sorption processes with a finite volume neural network

Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation

Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation

Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model

Bayesian Calibration and Validation of a Large‐Scale and Time‐Demanding Sediment Transport Model

Improving thermochemical energy storage dynamics forecast with physics-inspired neural network architecture

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario

Efficient modeling of environmental systems in the face of complexity and uncertainty

Efficient modeling of environmental systems in the face of complexity and uncertainty

Hydrogen penetration in water through porous medium: application to a radioactive waste storage site