Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58859
Title: Quantum mechanical thermochemical predictions 100 years after the Schrödinger equation
Contributor(s): Karton, Amir  (author)orcid 
Publication Date: 2022
DOI: 10.1016/bs.arcc.2022.09.003
Handle Link: https://hdl.handle.net/1959.11/58859
Abstract: 

Twenty-five years ago, the two main pillars of quantum chemistry—density functional and composite ab initio theories—were recognized with a Nobel Prize in Chemistry awarded to Walter Kohn and John Pople. This recognition sparked intense theoretical developments in both fields. Whereas in 1998, the year the Nobel Prize was awarded, there were only a handful of composite ab initio methods; most notably the Gaussian-n methods (n = 1–3), CBS methods (e.g., CBS-QCI and CBS-APNO), and the focal-point analysis approach, today there are many more families of such methods, including the Weizmann-n, MCCM, HEAT, ccCA, FPD, ATOMIC, INT-MP2-F12, and ChS family of methods, where some of these families include dozens of variants. Overall, there are over 100 contemporary variants of composite ab initio methods to choose from, with many variants implemented as a keyword in popular quantum chemical packages. This situation makes it difficult to choose a proper method for a given chemical system, property, and desired accuracy. This chapter provides an overview of contemporary composite ab initio methods applicable to first- and second-row elements, their main energetic components, and their expected accuracy and applicability. To guide the selection of a suitable method for a given chemical system and desired accuracy, the various methods are classified according to a ‘Jacob's Ladder’ of composite ab initio methods, from computationally economical methods that are capable of approaching chemical accuracy to computationally demanding methods capable of confident sub-benchmark accuracy.

Publication Type: Book Chapter
Source of Publication: Annual Reports in Computational Chemistry, p. 123-166
Publisher: Elsevier
Place of Publication: The Netherlands
ISBN: 9780323990929
Fields of Research (FoR) 2020: 340701 Computational chemistry
Socio-Economic Objective (SEO) 2020: 280120 Expanding knowledge in the physical sciences
HERDC Category Description: B1 Chapter in a Scholarly Book
Appears in Collections:Book Chapter
School of Science and Technology

Files in This Item:
1 files
File SizeFormat 
Show full item record
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.