Molecular Networking
Download Molecular Networking PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Molecular Networking book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Molecular Networking
Draws on a data analytics approach of molecules Covers hot topics such as artificial intelligence and machine learning of molecular trends Applications to systems at the cutting-edge of research e.g. environmental and energy applications, are used Discusses molecular simulation and links with other important, emerging techniques and trends in society as well as computational sciences Authors have a well-established track record and reputation in the field
Navigating Molecular Networks
This book delves into the foundational principles governing the treatment of molecular networks and "chemical space"—the comprehensive domain encompassing all physically achievable molecules—from the perspectives of vector space, graph theory, and data science. It explores similarity kernels, network measures, spectral graph theory, and random matrix theory, weaving intriguing connections between these diverse subjects. Notably, it emphasizes the visualization of molecular networks. The exploration continues by delving into contemporary generative deep learning models, increasingly pivotal in the pursuit of new materials possessing specific properties, showcasing some of the most compelling advancements in this field. Concluding with a discussion on the meanings of discovery, creativity, and the role of artificial intelligence (AI) therein. Its primary audience comprises senior undergraduate and graduate students specializing in physics, chemistry, and materials science. Additionally, it caters to those interested in the potential transformation of material discovery through computational, network, AI, and machine learning (ML) methodologies.
Molecular Communications
This book provides a complete analysis of molecular communications systems from the paradigm of TCP/IP network stack, and it exploits network theories (e.g. independent functions of a layer into a stack, addressing, flow control, error control, and traffic control) and applies them to biological systems. The authors show how these models can be applied in different areas such as industry, medicine, engineering, biochemistry, biotechnology, computer sciences, and other disciplines. The authors then explain how it is possible to obtain enormous benefits from these practices when applied in medicine, such as enhancing current treatment of diseases and reducing the side effects of drugs and improving the quality of treatment for patients. The authors show how molecular communications systems, in contrast to existing telecommunication paradigms, use molecules as information carriers. They show how sender biological nanomachines (bio-nano machines) encode data on molecules (signal molecules) and release the molecules into the environment. They go on to explain how the molecules then travel through the environment to reach the receiver bio-nano machines, where they biochemically react with the molecules to decipher information. This book is relevant to those studying telecommunications and biomedical students, engineers, masters, PhDs, and researchers.