| 1 |
A framework for data-based turbulent combustion closure: A posteriori validation
Ranade R, Echekki T
Combustion and Flame, 210, 279, 2019 |
| 2 |
A framework for data-based turbulent combustion closure: A priori validation
Ranade R, Echekki T
Combustion and Flame, 206, 490, 2019 |
| 3 |
Real-time furnace balancing of steam methane reforming furnaces
Tran A, Pont M, Crose M, Christofides PD
Chemical Engineering Research & Design, 134, 238, 2018 |
| 4 |
Temperature balancing in steam methane reforming furnace via an integrated CFD/data-based optimization approach
Tran A, Aguirre A, Crose M, Durand H, Christofides PD
Computers & Chemical Engineering, 104, 185, 2017 |
| 5 |
Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities
Severson K, VanAntwerp JG, Natarajan V, Antoniou C, Thommes J, Braatz RD
Computers & Chemical Engineering, 80, 30, 2015 |
| 6 |
Active learning strategy for smart soft sensor development under a small number of labeled data samples
Ge ZQ
Journal of Process Control, 24(9), 1454, 2014 |
| 7 |
Integrating data-based modeling and nonlinear control tools for batch process control
Aumi S, Mhaskar P
AIChE Journal, 58(7), 2105, 2012 |
| 8 |
Trajectory tracking of a batch polymerization reactor based on input-output-linearization of a neural process model
Horn J
Computers & Chemical Engineering, 25(11-12), 1561, 2001 |
