Computational Catalysis (eBook, PDF)

Redaktion: Asthagiri, Aravind; Janik, Michael J

• Format: PDF

Produktbeschreibung

The field of computational catalysis has existed in one form or another for at least 30 years. Its ultimate goal - the design of a novel catalyst entirely from the computer. While this goal has not been reached yet, the 21st Century has already seen key advances in capturing the myriad complex phenomena that are critical to catalyst behaviour under reaction conditions. This book presents an in depth review of select methods and approaches being adopted to push forward the boundaries of computational catalysis. Each method is supported with applied examples selected by the author, proving to be a more substantial resource than the existing literature. Both existing and possible future high-impact techniques are presented. An essential reference to anyone working in the field, the bookÆs editors share more than two decades of experience in computational catalysis and have brought together an impressive array of contributors. The book is written to ensure postgraduates and professionals will benefit from this one-stop resource on the cutting-edge of the field.

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Produktdetails

• Verlag: RSC
• Seitenzahl: 350
• Erscheinungstermin: 2. Dezember 2013
• Englisch
• ISBN-13: 9781849734905
• Artikelnr.: 44769194

Autorenporträt

Aravind Asthagiri is Associate Professor at the Ohio State University. His research interests include the application of atmoistic simulations to examine and rationally design novel materals. Michael Janik is assistant Professor of Chemical Engineering at Penn State University. His current research employs computational methods to understand and design catalysts for alternative energy conversion systems.

Inhaltsangabe

Charge transfer or reactive potentials
Ab initio thermodynamics
First-principles based microkinetic modelling
Adaptive kinetic Monte Carlo
Computational catalyst screening
Enantioselective catalysis
Dynamics of Surface Reactions
Advances in DFT functionals for catalysis
Modelling highly correlated systems in heterogeneous catalysis