| 1 |
Artificial Neural Networks for dynamic optimization of stochastic multiscale systems subject to uncertainty
Kimaev G, Ricardez-Sandoval LA
Chemical Engineering Research & Design, 161, 11, 2020 |
| 2 |
Identification of partial differential equation models for a class of multiscale spatio-temporal dynamical systems
Guo LZ, Billings SA, Coca D
International Journal of Control, 83(1), 40, 2010 |
| 3 |
Model parameter estimation and feedback control of surface roughness in a sputtering process
Hu GS, Lou YM, Christofides PD
Chemical Engineering Science, 63(7), 1800, 2008 |
| 4 |
A multiscale systems approach to microelectronic processes
Braatz RD, Alkire RC, Seebauer EG, Drews TO, Rusli E, Karulkar M, Xue F, Qin Y, Jung MYL, Gunawan R
Computers & Chemical Engineering, 30(10-12), 1643, 2006 |
| 5 |
Multiscale optimization using hybrid PDE/kMC process systems with application to thin film growth
Varshney A, Armaou A
Chemical Engineering Science, 60(23), 6780, 2005 |
| 6 |
Output feedback control of dissipative distributed processes via microscopic simulations
Armaou A
Computers & Chemical Engineering, 29(4), 771, 2005 |
| 7 |
Etectrochemical engineering in an age of discovery and innovation
Alkire RC, Braatz RD
AIChE Journal, 50(9), 2000, 2004 |
| 8 |
Classification and analysis of integrating frameworks in multiscale modelling
Ingram GD, Cameron IT, Hangos KM
Chemical Engineering Science, 59(11), 2171, 2004 |
| 9 |
Systems analysis and design of dynamically coupled multiscale reactor simulation codes
Rusli E, Drews TO, Braatz RD
Chemical Engineering Science, 59(22-23), 5607, 2004 |
