Recent Advances in Density Functional Methods (Recent Advances in Computational Chemistry Vol. 1, Part II)

Chong, Delano P., ed.

ISBN 10: 9810231504 / ISBN 13: 9789810231507

Published by World Scientific Pub Co Inc, 1997

About this Item

340 pp., Hardcover, ex library else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Seller Inventory # ZB976579

Bibliographic Details

• Title: Recent Advances in Density Functional Methods (Recent Advances in Computational Chemistry Vol. 1, Part II)
• Publisher: World Scientific Pub Co Inc
• Publication Date: 1997
• Language: English
• ISBN 10: 9810231504
• ISBN 13: 9789810231507
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

Of all the different areas in computational chemistry, density functional theory (DFT) enjoys the most rapid development. Even at the level of the local density approximation (LDA), which is computationally less demanding, DFT can usually provide better answers than Hartree-Fock formalism for large systems such as clusters and solids. For atoms and molecules, the results from DFT often rival those obtained by ab initio quantum chemistry, partly because larger basis sets can be used. Such encouraging results have in turn stimulated workers to further investigate the formal theory as well as the computational methodology of DFT.This Part II expands on the methodology and applications of DFT. Some of the chapters report on the latest developments (since the publication of Part I in 1995), while others extend the applications to wider range of molecules and their environments. Together, this and other recent review volumes on DFT show that DFT provides an efficient and accurate alternative to traditional quantum chemical methods. Such demonstration should hopefully stimulate frutiful developments in formal theory, better exchange-correlation functionals, and linear scaling methodology.