Molecular Networking: Statistical Mechanics in the Age of AI and Machine Learning

The book uses a data analytics approach to molecular systems to predict properties and collective behavior, similar to how polling and social networking shed light on social groups. It covers applications in biological, environmental, and energy research.

Format: Hardback
Length: 236 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd

The book delves into the captivating analogy between social groups and assemblies of molecules, serving as a foundation for introducing the fundamental concepts of statistical mechanics, machine learning, and data science. By applying a data analytics approach to molecular systems, the authors illustrate how individual molecular features and interactions, or communication processes, can predict the properties and collective behavior of these systems, much like polling and social networking shed light on the behavior of social groups. Furthermore, the book showcases practical applications to systems at the forefront of research in biological, environmental, and energy domains.

Key features of this comprehensive work include:

• Drawing on a data analytics approach to molecular systems, the book offers a fresh perspective on understanding complex phenomena.
• Covering hot topics such as artificial intelligence and machine learning of molecular trends, it provides valuable insights into the future of these fields.
• Featuring applications to systems at the cutting-edge of research for biological, environmental, and energy applications, the book showcases the real-world impact of molecular science.
• Discusses molecular simulation and its connections with other important, emerging techniques and trends in computational sciences and society, fostering interdisciplinary collaboration.
• The authors, with their well-established track record and reputation in the field, bring expertise and authority to the subject matter.

This book is a must-read for researchers, students, and professionals interested in advancing their understanding of molecular systems and their applications in various fields. It offers a comprehensive roadmap for exploring the exciting world of data analytics and its profound implications for understanding and manipulating complex systems.

Weight: 620g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367438937