| 1 |
High pressure ethylene polymerization with a post-metallocene bis-phenyl phenoxy catalyst
Ewart SW, Karjala TW, Demirors M
Journal of Polymer Science Part A: Polymer Chemistry, 55(5), 861, 2017 |
| 2 |
Theoretical Modeling of Average Block Structure in Chain-Shuttling alpha-Olefin Copolymerization Using Dual Catalysts
Zhang M, Karjala TW, Jain P, Villa C
Macromolecules, 46(12), 4847, 2013 |
| 3 |
Modeling of alpha-Olefin Copolymerization with Chain-Shuttling Chemistry Using Dual Catalysts in Stirred-Tank Reactors: Molecular Weight Distributions and Copolymer Composition
Zhang M, Karjala TW, Jain P
Industrial & Engineering Chemistry Research, 49(17), 8135, 2010 |
| 4 |
Theoretical Analysis of the Copolymer Composition Equation in Chain Shuttling Copolymerization
Zhang M, Carnahan EM, Karjala TW, Jain P
Macromolecules, 42(21), 8013, 2009 |
| 5 |
Delayed dynamics of polymer properties in continuous stirred tank polymerization reactors
Zhang M, Karjala TW, Kolthammer BWS
Industrial & Engineering Chemistry Research, 46(18), 5922, 2007 |
| 6 |
Dynamic Rectification of Data via Recurrent Neural Nets and the Extended Kalman Filter
Karjala TW, Himmelblau DM
AIChE Journal, 42(8), 2225, 1996 |
| 7 |
Rectification of Data in a Dynamic Process Using Artificial Neural Networks
Himmelblau DM, Karjala TW
Computers & Chemical Engineering, 20(6-7), 805, 1996 |
| 8 |
Resolving Problems in Closed-Loop Nonlinear Process Identification Using Irn
Cheng Y, Karjala TW, Himmelblau DM
Computers & Chemical Engineering, 20(10), 1159, 1996 |
| 9 |
Identification of Nonlinear Dynamic Processes with Unknown and Variable Dead-Time Using an Internal Recurrent Neural-Network
Cheng Y, Karjala TW, Himmelblau DM
Industrial & Engineering Chemistry Research, 34(5), 1735, 1995 |
| 10 |
Dynamic Data Rectification by Recurrent Neural Networks vs Traditional Methods
Karjala TW, Himmelblau DM
AIChE Journal, 40(11), 1865, 1994 |
