Modelling Molecular Self Organisation Computational by Fortuna (2 results)

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
£ 44.55
£ 59.25 shippingShips from Germany to U.S.A.Quantity: 5 available
Taschenbuch. Condition: Neu. Modelling Molecular Self-Organisation | computational techniques for the study of self-organising chemical systems | Sara Fortuna | Taschenbuch | 160 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843382847 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 51.44
£ 51.87 shippingShips from Germany to U.S.A.Quantity: 1 available
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study of self-organising chemical systems merges together concepts and techniques from different fields. This book focuses on those in use in soft matter and complexity science, which are introduced after a short review of the current nanotechnological applications of molecular self-assembly and the main problems encountered in modelling the self-organised behaviour of chemical systems. The attention is on Monte Carlo (MC) based methods. The MC method is first applied to two systems of experimental interest, showing that simplified models are able to reproduce the experimental observations, and predict phase diagrams and bonding motif. Follows the description of our new Agent Based (AB) algorithm for the study of molecular self-organisation. The AB algorithm, which can include elements of artificial intelligence and is traditionally used for the study of complex systems, is capable of driving the system towards a lowest energy con guration with respect to traditional MC methods. Finally, it is shown how the AB algorithm can be used as a part of the protocol to calculate the phase diagram of a rigid organic molecule with less computational effort than standard techniques.…