1 |
Molecular weight distribution modeling of LDPE in a continuous stirred-tankreactor using coupled deterministic and stochastic approach Choi S, Lee YK, Park SH, Lee JM Korean Journal of Chemical Engineering, 39(3), 798, 2022 |
2 |
Multiscale modeling and neural network model based control of a plasma etch process Xiao TQ, Ni D Chemical Engineering Research & Design, 164, 113, 2020 |
3 |
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 |
4 |
The hydrogen storage properties of Mg-intermetallic-hydrides by ab initio calculations and kinetic Monte Carlo simulations Abdellaoui M, Lakhal M, Benzidi H, Mounkachi O, Benyoussef A, El Kenz A, Loulidi M International Journal of Hydrogen Energy, 45(19), 11158, 2020 |
5 |
Dynamic Monte Carlo simulations of the reaction mechanism of hydrogen production from formic acid on Ni(100) Rafiee M, Bashiri H Applied Surface Science, 475, 720, 2019 |
6 |
Dynamics of 3D-island growth on weakly-interacting substrates Gervilla V, Almyras GA, Thunstrom F, Greene JE, Sarakinos K Applied Surface Science, 488, 383, 2019 |
7 |
Towards rigorous multiscale flow models of nanoparticle reactivity in chemical looping applications Andersson S, Radl S, Svenum IH, Shevlin SA, Guo ZX, Amini S Catalysis Today, 338, 152, 2019 |
8 |
Multiscale computational fluid dynamics modeling of thermal atomic layer deposition with application to chamber design Zhang YC, Ding YY, Christofides PD Chemical Engineering Research & Design, 147, 529, 2019 |
9 |
Machine learning-based modeling and operation for ALD of SiO2 thin-films using data from a multiscale CFD simulation Ding YY, Zhang YC, Ren YM, Orkoulas G, Christofides PD Chemical Engineering Research & Design, 151, 131, 2019 |
10 |
A new methodology to calculate process rates in a kinetic Monte Carlo model of PAH growth Leon G, Eaves N, Akroyd J, Mosbach S, Kraft M Combustion and Flame, 209, 133, 2019 |