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 |
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 |
3 |
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 |
4 |
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 |
5 |
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 |
6 |
The Effect of Correlated Kinetic Parameters on (Bio)Chemical Reaction Networks Xie XZ, Schenkendorf R, Krewer U Chemie Ingenieur Technik, 91(5), 632, 2019 |
7 |
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 |
8 |
Hill chart modelling using the Hermite polynomial chaos expansion for the performance prediction of pumps running as turbines Delgado J, Andolfatto L, Covas DIC, Avellan F Energy Conversion and Management, 187, 578, 2019 |
9 |
Efficient uncertainty quantification of stochastic heat transfer problems by combination of proper orthogonal decomposition and sparse polynomial chaos expansion Mohammadi A, Raisee M International Journal of Heat and Mass Transfer, 128, 581, 2019 |
10 |
Uncertainty quantification in three dimensional natural convection using polynomial chaos expansion and deep neural networks Shahane S, Aluru NR, Vanka SP International Journal of Heat and Mass Transfer, 139, 613, 2019 |