Archive Files

Volume 13, 2023 / Issue 5

DOI: 10.1615/Int.J.UncertaintyQuantification.v13.i5

Table of Contents:

A STOCHASTIC DOMAIN DECOMPOSITION AND POST-PROCESSING ALGORITHM FOR EPISTEMIC UNCERTAINTY QUANTIFICATION Mahadevan Ganesh, S. C. Hawkins, Alexandre M. Tartakovsky, Ramakrishna Tipireddy

Mahadevan Ganesh
Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, USA

S. C. Hawkins
School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW 2109, Australia

Alexandre M. Tartakovsky
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA

Ramakrishna Tipireddy
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA

1-22 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2023045687

COMBINED DATA AND DEEP LEARNING MODEL UNCERTAINTIES: AN APPLICATION TO THE MEASUREMENT OF SOLID FUEL REGRESSION RATE Georgios Georgalis, Kolos Retfalvi, Paul E. Desjardin, Abani Patra

Georgios Georgalis
Data Intensive Studies Center, Tufts University, Medford, Massachusetts 02155, USA

Kolos Retfalvi
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA

Paul E. Desjardin
Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA

Abani Patra
Data Intensive Studies Center, Tufts University, Medford, Massachusetts 02155, USA; Department of Mathematics, Tufts University, Medford, Massachusetts 02155, USA

23-40 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046610

UNCERTAINTY QUANTIFICATION BY GAUSSIAN RANDOM FIELDS FOR POINT-LIKE EMISSIONS FROM SATELLITE OBSERVATIONS Teemu Härkönen, Anu-Maija Sundström, Johanna Tamminen, Janne Hakkarainen, Esa Vakkilainen, Heikki Haario

Teemu Härkönen
LUT University, Lappeenranta, 53850, Finland

Anu-Maija Sundström
Finnish Meteorological Institute, Helsinki, 00560, Finland

Johanna Tamminen
Finnish Meteorological Institute, Helsinki, 00560, Finland

Janne Hakkarainen
Finnish Meteorological Institute, Helsinki, 00560, Finland

Esa Vakkilainen
LUT University, Lappeenranta, 53850, Finland

Heikki Haario
LUT University, Lappeenranta, 53850, Finland

41-59 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2023044906

QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD−DISTRIBUTION AND ROBUSTNESS MEASURES Q. Ayoul-Guilmard, Sundar Ganesh, S. Krumscheid, Fabio Nobile

Q. Ayoul-Guilmard
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland

Sundar Ganesh
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland

S. Krumscheid
Steinbuch Center for Computing, and Institute for Applied and Numerical Mathematics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany

Fabio Nobile
Calcul Scientifique et Quantification de l'Incertitude (CSQI), Institute of Mathematics, École Polytechnique Fédérale de Lausanne, Switzerland

61-98 pages
DOI: 10.1615/Int.J.UncertaintyQuantification.2023045259

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