Molecular Networking

The book builds on the analogy between social groups and assemblies of molecules to introduce the concepts of statistical mechanics, machine learning and data science. Applying a data analytics approach to molecular systems, we show how individual (molecular) features and interactions between molecules, or &quote;communication&quote; processes, allow for the prediction of properties and collective behavior of molecular systems - just as polling and social networking shed light on the behavior of social groups. Applications to systems at the cutting-edge of research for biological, environmental, and energy applications are also presented.Key features: Draws on a data analytics approach of molecular systems Covers hot topics such as artificial intelligence and machine learning of molecular trends Contains applications to systems at the cutting-edge of research for biological, environmental and energy applications Discusses molecular simulation and links with other important, emerging techniques and trends in computational sciences and society Authors have a well-established track record and reputation in the field