04860nam a22006255i 4500 978-3-031-51434-0 DE-He213 20251030112027.0 cr nn 008mamaa 240502s2024 sz | s |||| 0|eng d 9783031514340 978-3-031-51434-0 10.1007/978-3-031-51434-0 doi QD450-801 PNRP bicssc SCI013050 bisacsh PNRP thema Matta, Chérif F. author. aut http://id.loc.gov/vocabulary/relators/aut 76330 Electron Localization-Delocalization Matrices [electronic resource] / by Chérif F. Matta, Paul W. Ayers, Ronald Cook. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIX, 222 p. 88 illus., 66 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Chemistry, 2192-6603 ; 112 An Introduction to Electron Localization-Delocalization Matrices -- The Physics of Electron Localization and Delocalization -- The Quantum Theory of Atoms in Molecules and Electron Localization and Delocalization -- Localization-Delocalization Matrix Representation of Molecules -- Molecular Fingerprinting using Localization-Delocalization Matrices: Computational Aspects -- Principal Component Analysis of Localization-Delocalization Matrices -- Localization-Delocalization Matrices Analysis for Corrosion Inhibition -- Localization-Delocalization Matrices Analysis in Predicting Mosquito Repellency -- Modeling Enzyme-Substrate Interaction with Localization-Delocalization Matrices -- Localization-Delocalization Matrices of Large Systems -- Closing remarks. This book builds bridges between two yet separated branches of theoretical and mathematical chemistry: Chemical Graph Theory and Electronic Structure Calculations. Although either of the fields have developed their own techniques, problems, methods, and favorite benchmark cases independent from each other, the authors have managed to bring them together by using the localization-delocalization matrix (LDM). The LDM is a novel molecular descriptor that fingerprints a molecule by condensing the complicated electronic information in one, mathematically manageable, object. In this book, the authors introduce the readers to modeling techniques based on LDMs. Their technique offers a high accuracy as well as robust predictive power, often dramatically surpassing the potential of either of the constituting methods on their own. In addition to the comprehensive and accessible introduction to this new field of theoretical chemistry, the authors offer their self-developed software free to download, so that readers can try running their own simulations. The described methods are very general and can easily be implemented for calculating various properties and parameters such as mosquito repelling activity, ionic liquid properties, local aromaticity of ring molecules, log P's, pKa's, LD50, corrosion inhibition activities, and Lewis acidities and basicities – to only name a few. The free downloadable software helps readers automate the analysis of the matrices described in this book and hence facilitates application of the described methodology. . Chemistry, Physical and theoretical. 65282 Mathematical physics. Chemistry Data processing. 69913 Chemometrics. 73553 Mathematics. 65523 Statistics . 65982 Theoretical Chemistry. 66619 Theoretical, Mathematical and Computational Physics. 65563 Computational Chemistry. 69915 Mathematical Applications in Chemistry. 73555 Applications of Mathematics. 65529 Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 66911 Ayers, Paul W. author. aut http://id.loc.gov/vocabulary/relators/aut 76331 Cook, Ronald. author. aut http://id.loc.gov/vocabulary/relators/aut 76332 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031514326 Printed edition: 9783031514333 Lecture Notes in Chemistry, 2192-6603 ; 112 76333 https://doi.org/10.1007/978-3-031-51434-0 ZDB-2-CMS ZDB-2-SXC 59630 59630