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Density Functionals for Many-Particle Systems

About Density Functionals for Many-Particle Systems

Density Functional Theory (DFT) first established it's theoretical footing in the 1960s from the framework of Hohenberg-Kohn theorems. DFT has since seen much development in evaluation techniques as well as application in solving problems in Physics, Mathematics and Chemistry. This review volume, part of the IMS Lecture Notes Series, is a collection of contributions from the September 2019 Workshop on the topic, held in the Institute for Mathematical Sciences, National University of Singapore. With contributions from prominent Mathematicians, Physicists, and Chemists, the volume is a blend of comprehensive review articles on the Mathematical and the Physicochemical aspects of DFT and shorter contributions on particular themes, including numerical implementations. The book will be a useful reference for advanced undergraduate and postgraduate students as well as researchers.

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  • Language:
  • English
  • ISBN:
  • 9789811272141
  • Binding:
  • Hardback
  • Pages:
  • 398
  • Published:
  • February 10, 2023
  • Dimensions:
  • 157x26x235 mm.
  • Weight:
  • 727 g.
Delivery: 2-3 weeks
Expected delivery: October 18, 2024

Description of Density Functionals for Many-Particle Systems

Density Functional Theory (DFT) first established it's theoretical footing in the 1960s from the framework of Hohenberg-Kohn theorems. DFT has since seen much development in evaluation techniques as well as application in solving problems in Physics, Mathematics and Chemistry.

This review volume, part of the IMS Lecture Notes Series, is a collection of contributions from the September 2019 Workshop on the topic, held in the Institute for Mathematical Sciences, National University of Singapore.

With contributions from prominent Mathematicians, Physicists, and Chemists, the volume is a blend of comprehensive review articles on the Mathematical and the Physicochemical aspects of DFT and shorter contributions on particular themes, including numerical implementations.

The book will be a useful reference for advanced undergraduate and postgraduate students as well as researchers.

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