scholarly journals Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning

2018 ◽  
Vol 39 (28) ◽  
pp. 2405-2408 ◽  
Author(s):  
Keisuke Takahashi ◽  
Itsuki Miyazato
ChemInform ◽  
2011 ◽  
Vol 42 (8) ◽  
pp. no-no
Author(s):  
C. K. Kajdas ◽  
A. Kulczycki ◽  
K. J. Kurzydlowski ◽  
G. J. Molina

2019 ◽  
Vol 150 (6) ◽  
pp. 1561-1570
Author(s):  
Dmitry Yu. Murzin

Abstract Analysis of apparent activation energy is presented for different heterogeneous catalytic reactions with parallel reaction routes. In the case of kinetic coupling between catalytic cycles the activation energy in a particular route depends not only on the activation energies of the elementary steps comprising this route, but also on the frequency of the steps in a parallel route. Expressions were derived for coupling between routes through irreversible adsorption of the substrate, quasi-equilibrated binding as well as different substrate adsorption modes. Theoretical analysis of the apparent activation energy was extended for the reaction network with two routes possessing mechanistically different rate determining steps (i.e. monomolecular vs bimolecular). For structure sensitive reactions an expression for the apparent activation energy for parallel reactions was developed for cases with a continuous distribution of active centers and a cubo-octahedral representation of the metal clusters. A comparison between the theoretical analysis and experimental data on transformations of furfural to furfuryl alcohol and furan on ruthenium clusters shows applicability of the developed theoretical framework. Graphic Abstract


Author(s):  
I. G. Wenten ◽  
K. Khoiruddin ◽  
R. R. Mukti ◽  
W. Rahmah ◽  
Z. Wang ◽  
...  

Coupling chemical reaction with membrane separation or known as membrane reactor (MR) has been demonstrated by numerous studies and showed that this strategy has successfully addressed the goal of process intensification.


ChemInform ◽  
2006 ◽  
Vol 37 (20) ◽  
Author(s):  
V. Nieminen ◽  
E. Toukoniitty ◽  
A. Taskinen ◽  
M. Hotokka ◽  
D. Yu. Murzin

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