| 1 |
Interval Estimation for Uncertain Systems via Polynomial Chaos Expansions
Han WX, Wang ZH, Shen Y, Xu B
IEEE Transactions on Automatic Control, 66(1), 468, 2021 |
| 2 |
Uncertainty quantification on the effects of rain-induced erosion on annual energy production and performance of a Multi-MW wind turbine
Papi F, Balduzzi F, Ferrara G, Bianchini A
Renewable Energy, 165, 701, 2021 |
| 3 |
Stochastic Estimation of the Slip Factor in Apparent Permeability Model of Gas Transport in Porous Media
El-Amin MF, El-Beltagy MA
Transport in Porous Media, 137(2), 433, 2021 |
| 4 |
Non-intrusive uncertainty quantification in the simulation of turbulent spray combustion using Polynomial Chaos Expansion: A case study
Enderle B, Rauch B, Grimm F, Eckel G, Aigner M
Combustion and Flame, 213, 26, 2020 |
| 5 |
Uncertainty quantification of combustion noise by generalized polynomial chaos and state-space models
Silva CF, Pettersson P, Iaccarino G, Ihme M
Combustion and Flame, 217, 113, 2020 |
| 6 |
Global sensitivity analysis of n-butanol ignition delay times to thermodynamics class and rate rule parameters
Hantouche M, Sarathy SM, Knio OM
Combustion and Flame, 222, 355, 2020 |
| 7 |
Uncertainty quantification in a hydrogen production system based on the solar hybrid sulfur process
Venturin M, Turchetti L, Liberatore R
International Journal of Hydrogen Energy, 45(29), 14679, 2020 |
| 8 |
The Effect of Correlated Kinetic Parameters on (Bio)Chemical Reaction Networks
Xie XZ, Schenkendorf R, Krewer U
Chemie Ingenieur Technik, 91(5), 632, 2019 |
| 9 |
An efficient polynomial chaos expansion strategy for active fault identification of chemical processes
Schenkendorf R, Xie XZ, Krewer U
Computers & Chemical Engineering, 122, 228, 2019 |
| 10 |
Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants - An application to the BSM2 model
Al R, Behera CR, Zubov A, Gernaey KV, Sin G
Computers & Chemical Engineering, 127, 233, 2019 |
