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Unified Bayesian inference framework for surrogate modelling: connection between existing techniques and their common fundamentals

K. Cheng, Z. Lu, S. Xiao, S. Oladyshkin, und W. Nowak. submitted to Reliability Engineering and System Safety, (2021)

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Univ. -Prof. Dr. -Ing. Wolfgang Nowak University of Stuttgart

Dr. Wolfgang Frey University of Stuttgart

Replication data of Buchmeiser group for: "Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes"M. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, und W. Frey. Dataset, (2024)Related to: M. R. Buchmeiser, D. Wang, R. Schowner, L. Stöhr, F. Ziegler, S. Sen, W. Frey,; Synthetic and Structural Peculiarities of Neutral and Cationic Molybdenum Imido and Tungsten Oxo Alkylidene Complexes Bearing Weakly Coordinating N-Heterocyclic Carbenes; Eur. J. Inorg. Chem., in press (2024). doi: 10.1002/ejic.202400082.

Univ. -Prof. Dr. -Ing. Wolfgang Rheinheimer University of Stuttgart

Univ. -Prof. Dr. Wolfgang Kühnel University of Stuttgart

apl. Prof. Dr. Wolfgang Hauber University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

A Graph-Theory Based Algorithm to Generate Decentralized Urban Drainage LayoutsA. E. Bakhshipour, M. Bakhshizadeh, U. Dittmer, W. Nowak, und A. Haghighi. New trends in urban drainage modelling, Volume 139 von Green Energy and Technology, Springer Berlin Heidelberg, New York NY, (2018)Experimental evaluation and uncertainty quantification for a fractional viscoelastic model of salt concreteM. Hinze, S. Xiao, A. Schmidt, und W. Nowak. Mechanics of time-dependent materials, (2022)Evolution and persistence of cross-directional statistical dependence during finite-Peclet transport through a real porous mediumS. Most, B. Bijeljic, und W. Nowak. Water resources research, 52 (11): 8903-8920 (2016)Using model complexity to select the optimum architecture for artificial neural networksU. Khan, M. Höge, E. Snieder, R. Shakir, und W. Nowak. 20th EGU General Assembly, EGU2018, Seite 17908. Smithsonian Astrophysical Observatory, (2018)Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systemsT. Praditia, T. Walser, S. Oladyshkin, und W. Nowak. American Geophysical Union, Fall Meeting 2019, Seite IN32B-15. Smithsonian Astrophysical Observatory, (2019)Universal Differential Equation for Diffusion-Sorption Problem in Porous Media FlowT. Praditia, S. Oladyshkin, und W. Nowak. EGU General Assembly 2022, Seite EGU21-49. Copernicus GmbH, (2021)Uncertainty quantification for a hydro-morphodynamic model of river RhineT. Mai, W. Nowak, R. Kopmann, und S. Oladyshkin. European Geosciences Union 2016, Zenodo, (2016)Trajectories as training images to simulate advective-diffusive, non-fickian transportS. Mose, D. Bolster, B. Bijeljic, und W. Nowak. Water Resources Research, 55 (4): 3465-3480 (2019)Mixed Covariance Function Kriging Model for Uncertainty QuantificationK. Cheng, Z. Lu, S. Xiao, S. Oladyshkin, und W. Nowak. International journal for uncertainty quantification, 12 (3): 17-30 (2022)Bayesian Calibration and Validation of a Large-Scale and Time-Demanding Sediment Transport ModelF. Beckers, A. Heredia, M. Noack, W. Nowak, S. Wieprecht, und S. Oladyshkin. Water Resources Research, 56 (7): e2019WR026966 (2020)