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Modelling Molecular Self-Organisation
computational techniques for the study of self-organising chemical systems
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Focusing on self-organizing chemical systems, this book integrates concepts from soft matter and complexity science, beginning with a review of nanotechnological applications and modeling challenges. It emphasizes Monte Carlo methods, demonstrating their effectiveness in reproducing experimental observations and predicting phase diagrams. The introduction of a new Agent Based algorithm enhances the study of molecular self-organization, leveraging artificial intelligence to achieve lower energy configurations and streamline phase diagram calculations for rigid organic molecules.
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Modelling Molecular Self-Organisation, Sara Fortuna
- Language
- Released
- 2010
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- (Paperback)
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- Title
- Modelling Molecular Self-Organisation
- Subtitle
- computational techniques for the study of self-organising chemical systems
- Language
- English
- Authors
- Sara Fortuna
- Publisher
- LAP LAMBERT Academic Publishing
- Released
- 2010
- Format
- Paperback
- Pages
- 160
- ISBN13
- 9783843382847
- Category
- Nature in general
- Description
- Focusing on self-organizing chemical systems, this book integrates concepts from soft matter and complexity science, beginning with a review of nanotechnological applications and modeling challenges. It emphasizes Monte Carlo methods, demonstrating their effectiveness in reproducing experimental observations and predicting phase diagrams. The introduction of a new Agent Based algorithm enhances the study of molecular self-organization, leveraging artificial intelligence to achieve lower energy configurations and streamline phase diagram calculations for rigid organic molecules.