| 1 |
Modeling and Dynamic Performance Analysis of Brushless Doubly Fed Induction Machine Considering Iron Loss
Hesar HM, Zarchi HA, Markadeh GA
IEEE Transactions on Energy Conversion, 35(1), 193, 2020 |
| 2 |
CFD-based reduced-order modeling of fluidized-bed biomass fast pyrolysis using artificial neural network
Zhong HB, Xiong QG, Yin LN, Zhang JT, Zhu YQ, Liang SR, Niu B, Zhang XY
Renewable Energy, 152, 613, 2020 |
| 3 |
Conjugate heat transfer model for feedback control and state estimation in a volumetric solar receiver
Herrmann B, Behzad M, Cardemil JM, Calderon-Munoz WR, Fernandez RM
Solar Energy, 198, 343, 2020 |
| 4 |
Building a data-driven reduced order model of a chemical vapor deposition process from low-fidelity CFD simulations
Gkinis PA, Koronaki ED, Skouteris A, Aviziotis IG, Boudouvis AG
Chemical Engineering Science, 199, 371, 2019 |
| 5 |
Efficient modeling of the nonlinear dynamics of tubular heterogeneous reactors
Badillo-Hernandez U, Alvarez J, Alvarez-Icaza L
Computers & Chemical Engineering, 123, 389, 2019 |
| 6 |
A reduced-order multiscale model of a free-radical semibatch emulsion polymerization process
Urrea-Quintero JH, Ochoa S, Hernandez H
Computers & Chemical Engineering, 127, 11, 2019 |
| 7 |
Frequency limited Gramians-based structure preserving model order reduction for discrete time second-order systems
Haider KS, Ghafoor A, Imran M, Malik FM
International Journal of Control, 92(11), 2608, 2019 |
| 8 |
Reduced-order model for microstructure evolution prediction in the electrodes of solid oxide fuel cell with dynamic discrepancy reduced modeling
Lei YK, Chen TL, Mebane DS, Wen YH
Journal of Power Sources, 416, 37, 2019 |
| 9 |
Physical, on the fly, capacity degradation prediction of LiNiMnCoO2-graphite cells
Jana A, Shaver GM, Garcia RE
Journal of Power Sources, 422, 185, 2019 |
| 10 |
Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach
Chen BL, Harp DR, Lin YZ, Keating EH, Pawar RJ
Applied Energy, 225, 332, 2018 |
