Density Functional Theory : Modeling, Mathematical Analysis, Computational Methods, and Applications
2023 ed.
Book Details
Format
Paperback / Softback
Book Series
Mathematics and Molecular Modeling
ISBN-10
303122342X
ISBN-13
9783031223426
Edition
2023 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 19th, 2024
Print length
580 Pages
Product Classification:
MathematicsCondensed matter physics (liquid state & solid state physics)Condensed matter physics (liquid state and solid state physics)Atomic & molecular physicsAtomic and molecular physicsChemistryQuantum & theoretical chemistryQuantum and theoretical chemistryMechanical engineeringMaterials scienceOther technologies & applied sciencesOther technologies and applied sciences
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Density functional theory (DFT) provides the most widely used models for simulating molecules and materials based on the fundamental laws of quantum mechanics. It plays a central role in a huge spectrum of applications in chemistry, physics, and materials science.Quantum mechanics describes a system of N interacting particles in the physical 3-dimensional space by a partial differential equation in 3N spatial variables. The standard numerical methods thus incur an exponential increase of computational effort with N, a phenomenon known as the curse of dimensionality; in practice these methods already fail beyond N=2. DFT overcomes this problem by1) reformulating the N-body problem involving functions of 3N variables in terms of the density, a function of 3 variables, 2) approximating it by a pioneering hybrid approach which keeps important ab initio contributions and re-models the remainder in a data-driven way. This book intends to be an accessible, yet state-of-art text on DFT for graduate students and researchers in applied and computational mathematics, physics, chemistry, and materials science. It introduces and reviews the main models of DFT, covering their derivation and mathematical properties, numerical treatment, and applications.
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