Become a Readings Member to make your shopping experience even easier. Sign in or sign up for free!

Become a Readings Member. Sign in or sign up for free!

Hello Readings Member! Go to the member centre to view your orders, change your details, or view your lists, or sign out.

Hello Readings Member! Go to the member centre or sign out.

Computational Methods for the Multiscale Modelling of Soft Matter
Paperback

Computational Methods for the Multiscale Modelling of Soft Matter

$684.99
Sign in or become a Readings Member to add this title to your wishlist.

Due to the hierarchical organization of morphology in soft materials and their slow dynamics, a single modelling technique does not suffice to simulate them. The wide range of modelling approaches available span many time and length scales, making it challenging for newcomers to the field to know how to critically assess the tools and to determine which is most appropriate for any given problem. This book provides a concise and clear description of a variety of simulation methods to model these ubiquitous materials. The list of techniques includes numerical and molecular modelling ones and covers several time and length scales.

Along with the fundamental concepts of the theory behind the methods, a comprehensive set of examples taken from the broad pool of soft materials is included. These exemplify how, thanks to the increased computational resources nowadays available to almost any research group, computational methods have become a powerful tool to sit alongside other experimental characterizations and show their increasing relevance for the manufacturing sector. Chapters illustrate how modelling techniques can be used to aid interpretation of experimental data, and how experiments can be used to parameterise models. In addition to enabling informed decisions to be made about the modelling tools to adopt for a given problem, the book will enable those who might already be experts in one technique to transition to other tools more easily. This will become increasingly important as multiscale tools become increasingly sophisticated and sufficiently well developed to be used by more casual users of simulation tools.

Bringing together all these modelling approaches and applications into one coherent volume, Computational Methods for the Multiscale Modelling of Soft Matter provides a one-stop resource that is written primarily for postgraduate students and researchers in materials science, computational physics and chemists and chemical engineering interested in learning about simulation methods for soft materials as polymers, surfactants, and colloids.

Read More
In Shop
Out of stock
Shipping & Delivery

$9.00 standard shipping within Australia
FREE standard shipping within Australia for orders over $100.00
Express & International shipping calculated at checkout

MORE INFO
Format
Paperback
Publisher
Elsevier - Health Sciences Division
Country
United States
Date
1 November 2025
Pages
456
ISBN
9780443273148

Due to the hierarchical organization of morphology in soft materials and their slow dynamics, a single modelling technique does not suffice to simulate them. The wide range of modelling approaches available span many time and length scales, making it challenging for newcomers to the field to know how to critically assess the tools and to determine which is most appropriate for any given problem. This book provides a concise and clear description of a variety of simulation methods to model these ubiquitous materials. The list of techniques includes numerical and molecular modelling ones and covers several time and length scales.

Along with the fundamental concepts of the theory behind the methods, a comprehensive set of examples taken from the broad pool of soft materials is included. These exemplify how, thanks to the increased computational resources nowadays available to almost any research group, computational methods have become a powerful tool to sit alongside other experimental characterizations and show their increasing relevance for the manufacturing sector. Chapters illustrate how modelling techniques can be used to aid interpretation of experimental data, and how experiments can be used to parameterise models. In addition to enabling informed decisions to be made about the modelling tools to adopt for a given problem, the book will enable those who might already be experts in one technique to transition to other tools more easily. This will become increasingly important as multiscale tools become increasingly sophisticated and sufficiently well developed to be used by more casual users of simulation tools.

Bringing together all these modelling approaches and applications into one coherent volume, Computational Methods for the Multiscale Modelling of Soft Matter provides a one-stop resource that is written primarily for postgraduate students and researchers in materials science, computational physics and chemists and chemical engineering interested in learning about simulation methods for soft materials as polymers, surfactants, and colloids.

Read More
Format
Paperback
Publisher
Elsevier - Health Sciences Division
Country
United States
Date
1 November 2025
Pages
456
ISBN
9780443273148