03799nam a22005415i 4500 978-3-031-68364-0 DE-He213 20251030113127.0 cr nn 008mamaa 241004s2024 sz | s |||| 0|eng d 9783031683640 978-3-031-68364-0 10.1007/978-3-031-68364-0 doi QD450-801 QC174.7-175.36 PNRP bicssc SCI013050 bisacsh PNRP thema Budkov, Yury A. author. aut http://id.loc.gov/vocabulary/relators/aut 85616 Statistical Field Theory of Ion-Molecular Fluids [electronic resource] : Fundamentals and Applications in Physical Chemistry and Electrochemistry / by Yury A. Budkov, Nikolai N. Kalikin. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XIII, 290 p. 46 illus., 42 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Mathematical Introduction -- Statistical Field Theory of Simple Fluids -- Self-consistent Field Theory of Ionic Fluids. Canonical Ensemble Formulation -- Self-consistent Field Theory of Ionic Fluids. Grand Canonical Ensemble Formulation -- Nonlocal Statistical Theory of Solutions of Multipolar Molecules -- Further Developments in Modified Poisson-Boltzmann Equations Accounting for Ionic Specificity. This book presents statistical physics methods based on self-consistent field theory for describing the thermodynamic properties of ion-molecular systems, including electrolyte solutions, ionic liquids, polymeric ionic liquids, and metal-organic complexes. The methods are applicable in both the bulk and at interfaces, taking into account the molecular structure of these systems. The book also provides a comprehensive analysis of the current state of art on statistical field theory for ion-molecular systems. It is primarily intended for researchers and graduate students in physical chemistry and condensed matter physics, as well as for physical chemists, physicists, and engineers interested in molecular system theory and simulation. By presenting these approaches, the book aims to enable readers to solve various problems in physical chemistry and electrochemistry using the methods described. The authors attempted to focus on specific issues and provide the necessary theoretical background. The book includes a mathematical introduction that readers can consult if they need clarification on any mathematical concepts or details omitted in the main text. In order to read the book, it is recommended that readers have a basic understanding of calculus, linear algebra, and probability theory, which can be acquired through standard university courses. Statistical Mechanics. 69101 Salts. 85617 Thermodynamics. 66400 Statistical Mechanics. 69101 Ionic Liquids. 85618 Thermodynamics. 66400 Kalikin, Nikolai N. author. aut http://id.loc.gov/vocabulary/relators/aut 85619 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031683633 Printed edition: 9783031683657 Printed edition: 9783031683664 https://doi.org/10.1007/978-3-031-68364-0 ZDB-2-PHA ZDB-2-SXP 63999 63999