1 |
Physics-informed deep learning for data-driven solutionsof computational fluid dynamics Choi S, Jung I, Kim H, Na J, Lee JM Korean Journal of Chemical Engineering, 39(3), 515, 2022 |
2 |
Application of Lyapunov's Methods for Analyzing the Stability of a Tubular Chemical Reactor with Recycle Berezowski M Chemical Engineering & Technology, 43(12), 2523, 2020 |
3 |
New reliable tools to mathematically model chemical reaction systems Amin JS, Zendehboudi S, Eftekhari A Chemical Engineering Research & Design, 141, 156, 2019 |
4 |
Decision making scheme of integration design and control under uncertainty for enhancing the economic performance of chemical processes with multiplicity behaviors Wang KL, Chen JH, Xie L, Su HY Chemical Engineering Research & Design, 150, 327, 2019 |
5 |
A Brief History of Chemical Reactor and Reaction Technology Kockmann N Chemie Ingenieur Technik, 91(7), 941, 2019 |
6 |
Prediction of minimum achievable NOx levels for fuel-staged combustors Goh E, Sirignano M, Li J, Nair V, Emerson B, Lieuwen T, Seitzman J Combustion and Flame, 200, 276, 2019 |
7 |
Prevention of lean flame blowout using a predictive chemical reactor network control Gupta S, Malte P, Brunton SL, Novosselov I Fuel, 236, 583, 2019 |
8 |
On combining self-optimizing control and extremum-seeking control - Applied to an ammonia reactor case study Straus J, Krishnamoorthy D, Skogestad S Journal of Process Control, 78, 78, 2019 |
9 |
Manufactured chemistry: Rethinking unit operation design in the age of additive manufacturing Stark AK AIChE Journal, 64(4), 1162, 2018 |
10 |
Inherently safer reactors and procedures to prevent reaction runaway Fei Y, Sun B, Zhang F, Xu W, Shi N, Jiang J Chinese Journal of Chemical Engineering, 26(6), 1252, 2018 |