An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions

Kinetic Monte Carlo (kMC) simulations still represent a quite new area of research, with a rapidly growing number of publications. Broadly speaking, kMC can be applied to any system describable as a set of minima of a potential-energy surface, the evolution of which will then be regarded as hops fro...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Jansen, A.P.J (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:Lecture Notes in Physics, 856
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Jansen, A.P.J.  |e author. 
245 1 3 |a An Introduction to Kinetic Monte Carlo Simulations of Surface Reactions  |h [electronic resource] /  |c by A.P.J. Jansen. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a XVII, 254 p. 79 illus.  |b online resource. 
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490 1 |a Lecture Notes in Physics,  |x 0075-8450 ;  |v 856 
505 0 |a Introduction -- Stochastic Model for the Description of Surface Reaction Systems -- Kinetic Monte Carlo Algorithms -- How to Get Kinetic Parameters -- Modeling Surface Reactions I -- Modeling Surface Reactions II -- Examples -- New Developments -- Glossary -- Index. 
520 |a Kinetic Monte Carlo (kMC) simulations still represent a quite new area of research, with a rapidly growing number of publications. Broadly speaking, kMC can be applied to any system describable as a set of minima of a potential-energy surface, the evolution of which will then be regarded as hops from one minimum to a neighboring one. The hops in kMC are modeled as stochastic processes and the algorithms use random numbers to determine at which times the hops occur and to which neighboring minimum they go. Sometimes this approach is also called dynamic MC or Stochastic Simulation Algorithm, in particular when it is applied to solving macroscopic rate equations.      This book has two objectives. First, it is a primer on the kMC method (predominantly using the lattice-gas model) and thus much of the book will also be useful for applications other than to surface reactions. Second, it is intended to teach the reader what can be learned from kMC simulations of surface reaction kinetics.   With these goals in mind, the present text is conceived as a self-contained introduction for students and non-specialist researchers alike who are interested in entering the field and learning about the topic from scratch. 
650 0 |a Physics. 
650 0 |a Chemistry, Physical and theoretical. 
650 0 |a Surfaces (Physics). 
650 0 |a Interfaces (Physical sciences). 
650 0 |a Thin films. 
650 0 |a Materials  |x Surfaces. 
650 1 4 |a Physics. 
650 2 4 |a Surface and Interface Science, Thin Films. 
650 2 4 |a Surfaces and Interfaces, Thin Films. 
650 2 4 |a Theoretical and Computational Chemistry. 
650 2 4 |a Numerical and Computational Physics. 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783642294877 
830 0 |a Lecture Notes in Physics,  |x 0075-8450 ;  |v 856 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-29488-4  |z Full Text via HEAL-Link 
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