Chemical Rate Processes - Rate Theory and Homogeneous Reactions

1954 ◽  
Vol 46 (5) ◽  
pp. 880-883
Author(s):  
R. H. Wilhelm
1968 ◽  
Vol 90 (23) ◽  
pp. 6566-6567 ◽  
Author(s):  
Anton. Rieker ◽  
Norbert. Zeller ◽  
Horst. Kessler
Keyword(s):  

Fuel ◽  
1984 ◽  
Vol 63 (5) ◽  
pp. 716-717 ◽  
Author(s):  
Neil R. Foster ◽  
Megan M. Young ◽  
Keith N. Clark ◽  
Ronald G. Weiss

2020 ◽  
Vol 14 (27) ◽  
pp. 89-93
Author(s):  
Valter H. Carvalho-Silva

Referências 1. Keeling, M. J. & Rohani, P. Modeling infectious diseases in humans and animals. Modeling Infectious Diseases in Humans and Animals (PRINCETON UNIVERSITYPRESS, 2011). 2. Aquilanti, V., Coutinho, N. D. & Carvalho-Silva, V. H. Kinetics of Low-Temperature Transitions and Reaction Rate Theory from Non-Equilibrium Distributions. Philos. Trans. R. Soc. London A 375, 20160204 (2017). 3. Carvalho-Silva, V. H., Coutinho, N. D. & Aquilanti, V. Temperature dependence of rate processes beyond Arrhenius and Eyring: Activation and Transitivity. Front. Chem. 7, 380 (2019). 4. Center For Systems Science And Engineering Johns Hopkins University. CSSEGISandData/COVID-19 (2020). Available at: https://github.com/CSSEGISandData/COVID-19. (Accessed: 30th March 2020) 5. Machado, H. G. et al. “Transitivity”: a code for computing kinetic and related parameters in chemical transformations and transport phenomena. Molecules 24, 3478 (2019). 6. Aquilanti, V., Borges, E. P., Coutinho, N. D., Mundim, K. C. & Carvalho-Silva, V. H. From statistical thermodynamics to molecular kinetics: the change, the chance and the choice. Rend. Lincei. Sci. Fis. e Nat. 28, 787–802 (2018). 7. Arnold, B. C. Pareto and Generalized Pareto Distributions. in Modeling Income Distributions and Lorenz Curves 119–145 (Springer New York, 2008). 8. Tsallis, C. Possible Generalization of Boltzmann-Gibbs Statistics. J. Stat. Phys. 52, 479–487 (1988). 9. Jena, A. K. & Chaturvedi, M. C. Phase transformation in materials. (Prentice Hall, 1992). 10. Poccia, N. et al. Evolution and control of oxygen order in a cuprate superconductor. Nat. Mater. 10, 733–736 (2011). 11. Zhao, S., Musa, S. S., Fu, H., He, D. & Qin, J. Simple framework for real-time forecast in a data-limited situation: The Zika virus (ZIKV) outbreaks in Brazil from 2015 to 2016 as an example. Parasites and Vectors 12, 344 (2019). 12. Subbaraman, N. Coronavirus tests: researchers chase new diagnostics to fight the pandemic. Nature (2020). doi:10.1038/d41586-020-00827-6 13. Balilla, J. Assessment of COVID-19 Mass Testing: The Case of South Korea. SSRN Electron. J. (2020). doi:10.2139/ssrn.3556346 14. Anderson, R. M., Heesterbeek, H., Klinkenberg, D. & Hollingsworth, T. D. How will country-based mitigation measures influence the course of the COVID-19 epidemic? The Lancet 395, 931–934 (2020).


Author(s):  
L. Bellamy ◽  
C. H. Barron ◽  
J. R. O’Loughlin

Flame stability limits produced by a reverse-jet flameholder are experimentally studied with a chemical inhibitor added to the gas stream issuing from the reverse-jet. The result of this addition is a reduction of flame stability limits. Such a reduction indicates the importance of the chemical rate processes in the flameholding phenomenon.


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