Computational Catalysis. Questo articolo non è disponibile.
Lingua: inglese
Editore: RSC Publishing Dez 2024, 2024
- Rilegato
- Nuovo
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Venditore AbeBooks dal 14 agosto 2006
Condizione: Nuovo
EUR 346,92
Descrizione dell’articolo da parte del venditore
Neuware - First-principles-based modelling of catalysts is a growing field and the past decade has seen the range of applications for it increase. Improvements in computing power and developments in the areas of machine learning have made many exciting advances possible. The new edition of Computational Catalysis provides an update on the contents of the previous edition whilst introducing new chapters on kinetic Monte Carlo, modelling solvent effects, machine learning for catalyst modelling and design, and modelling complex heterogeneous structures. Written to be accessible to anyone with a familiarity with quantum mechanical methods, this book is a valuable resource for both early career researchers and graduate students.
Codice articolo 9781788018814
- Titolo
- Computational Catalysis
- Autore
- Michael Janik
- Editore
- RSC Publishing Dez 2024
- Anno di pubblicazione
- 2024
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 1788018818
- ISBN 13
- 9781788018814
- Edizione
- seconda edizione
- Peso dell'articolo
- 680 grammi
- Dimensioni
- 236x160x28 mm
First-principles-based modelling of catalysts is a growing field and the past decade has seen the range of applications for it increase. Improvements in computing power and developments in the areas of machine learning have made many exciting advances possible.
The new edition of Computational Catalysis provides an update on the contents of the previous edition whilst introducing new chapters on kinetic Monte Carlo, modelling solvent effects, machine learning for catalyst modelling and design, and modelling complex heterogeneous structures. Written to be accessible to anyone with a familiarity with quantum mechanical methods, this book is a valuable resource for both early career researchers and graduate students.
"Riassunto" può appartenere a un’altra edizione di questo titolo.
Dalla quarta di copertina
First-principles-based modelling of catalysts is a growing field and the past decade has seen the range of applications for it increase. Improvements in computing power and method development in areas such as machine learning have made many exciting advances possible.
The new edition of Computational Catalysis provides an update on the contents of the previous edition whilst introducing new chapters on kinetic Monte Carlo, modelling solvent effects, machine learning for catalyst modelling and design, and modelling complex heterogeneous structures. Written to be accessible to anyone with a familiarity with quantum mechanical methods, this book is a valuable resource for both early career researchers and graduate students.
"Descrizione articolo" può appartenere a un’altra edizione di questo titolo.