The Kinetic Theory and the Mechanisms of Micellar Effects on Chemical Reactions

1977 ◽  
pp. 489-508 ◽  
Author(s):  
K. Martinek ◽  
A. K. Yatsimirski ◽  
A. V. Levashov ◽  
I. V. Berezin
Keyword(s):  
Kinetic Theory ◽  
Chemical Reactions ◽  
Micellar Effects

The kinetic theory of desorption and chemical reactions in surface gases

1969 ◽  
Vol 17 (4) ◽  
pp. 341-354 ◽  
Author(s):  
J. Popielawski
Keyword(s):  
Kinetic Theory ◽  
Chemical Reactions

On the interpretation of random fluctuations in competing chemical systems

1983 ◽  
Vol 20 (04) ◽  
pp. 877-883
Author(s):  
Peter Hall
Keyword(s):  
Kinetic Theory ◽  
Stochastic Model ◽  
Chemical Reactions ◽  
Stochastic Models ◽  
Chemical Systems ◽  
Random Fluctuations

Several stochastic models have been proposed to describe the kinetic theory of reversible chemical reactions. However, in macroscopic systems the effects of stochastic variability are often outweighed by mean effects. In the present paper we show that some observed phenomena can be explained quite adequately by a stochastic model in which the stochastic variability is not negligible in comparison with mean effects. Our argument involves approximations to a stochastic model for competing chemical reactions.

Kinetic theory of chemical reactions in dense fluids

1978 ◽  
Vol 68 (4) ◽  
pp. 1903-1912 ◽  
Author(s):  
Raymond Kapral
Keyword(s):  
Kinetic Theory ◽  
Chemical Reactions ◽  
Dense Fluids

On the kinetic theory of chemical reactions in adsorbed gases

1968 ◽  
Vol 14 (4) ◽  
pp. 341-348 ◽  
Author(s):  
J. Popielawski
Keyword(s):  
Kinetic Theory ◽  
Chemical Reactions

On the interpretation of random fluctuations in competing chemical systems

1983 ◽  
Vol 20 (4) ◽  
pp. 877-883 ◽  
Author(s):  
Peter Hall
Keyword(s):  
Kinetic Theory ◽  
Stochastic Model ◽  
Chemical Reactions ◽  
Stochastic Models ◽  
Chemical Systems ◽  
Random Fluctuations

Several stochastic models have been proposed to describe the kinetic theory of reversible chemical reactions. However, in macroscopic systems the effects of stochastic variability are often outweighed by mean effects. In the present paper we show that some observed phenomena can be explained quite adequately by a stochastic model in which the stochastic variability is not negligible in comparison with mean effects. Our argument involves approximations to a stochastic model for competing chemical reactions.

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