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Navigating Molecular Networks: Exploring the Chemical Space Concept in Novel Materials Design

English

By (author): N. Sukumar

This book delves into the foundational principles governing the treatment of molecular networks and chemical spacethe comprehensive domain encompassing all physically achievable moleculesfrom 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.

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A01=N. SukumarAge Group_UncategorizedAuthor_N. Sukumarautomatic-updateCategory1=Non-FictionCategory=PBTCategory=PBVCategory=PBWLCategory=PHSCategory=PHVNCategory=TGMCategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€50 to €100PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 28 Dec 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 28 Dec 2024
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031762895

About N. Sukumar

N. Sukumar is an Adjunct Professor at the School of Artificial Intelligence Amrita Vishwa Vidyapeetham University Coimbatore India. He was the Founding Head and retired as Professor Department of Chemistry and Founding Director Center for Informatics at Shiv Nadar University India. He earned his M.Sc. in Chemistry from the Indian Institute of Technology Kanpur and his Ph.D. from the State University of Chemistry at Stony Brook. He completed postdoctoral appointments at the University of Southern California the University of New Orleans and Marquette University. Sukumar was also an Alexander von Humboldt Fellow at the University of Bonn Germany and served as a visiting scientist at the Wadsworth Institute of the New York State Department of Health. Additionally he worked as an Associate Research Professor at the Rensselaer Polytechnic Institute in Troy NY. His research spans quantum chemistry density functional theory computational and cheminformatic methods for discovering molecules and materials with specific chemical and biological properties. He specializes in developing novel molecular descriptors and robust property modelling methods for predicting and interpreting protein-ligand binding and protein similarity classification. Currently Sukumar's active research programs involve drug polymer and nanomaterials design through QSAR/QSPR modelling and machine learning. He also explores protein and DNA bioinformatics using structure-based methods and molecular descriptors. His work includes chemical and biological networks employing graph and network properties to study and design molecular libraries along with materials design using machine learning and first-principles computations to unveil complex relationships between structure and properties of materials. Sukumar is the editor of A Matter of Density (Wiley 2012) and co-author of Computational Drug Discovery: A Primer (IonCure Press 2023) among other book chapters and research papers.

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