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In-silico Approaches to Macromolecular Chemistry

In-silico Approaches to Macromolecular Chemistry

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  • More about In-silico Approaches to Macromolecular Chemistry


Computational approaches provide unique insights into macromolecules, but selecting the most appropriate method can be challenging. In-Silico Approaches to Macromolecular Chemistry provides a comprehensive overview of theoretical tools and software for studying biopolymers and synthetic polymers, with in-depth studies and comparisons to experimental studies. It helps students, researchers, and industry professionals gain a clear understanding of the field and select the most suitable tools for computational studies.

Format: Paperback / softback
Length: 510 pages
Publication date: 01 August 2022
Publisher: Elsevier - Health Sciences Division


Computational approaches provide researchers with invaluable insights into the structure, characteristics, and properties of macromolecules, offering a comprehensive understanding of these complex molecules. With applications spanning various fields, researchers have developed diverse methods to explore macromolecules in silico. However, selecting the most suitable method for specific research needs can be challenging. In-Silico Approaches to Macromolecular Chemistry aims to familiarize readers with the theoretical tools and software necessary for conducting in silico studies of biopolymers and synthetic polymers. This comprehensive book not only provides essential background knowledge on computational techniques and macromolecules but also delves into in-depth investigations of in silico macromolecule chemistry. It compares these findings with experimental studies and highlights the potential future of such approaches. Written by experts in their respective fields, this book serves as a valuable resource for students, researchers, and industry professionals seeking to gain a comprehensive understanding of the field. It equips them with the knowledge and skills required to select the most appropriate tools for conducting and analyzing computational studies, contributing to advancements in various scientific and technological disciplines.


Dimension: 229 x 152 (mm)
ISBN-13: 9780323909952

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