Pople diagram

{{Short description|Diagram used in computational chemistry}}

File:Pople diagram reverse final.pdf (Nobel Prize winner and theoretical chemist). The diagram shows basis set and quantum chemical methods on vertical and horizontal axis respectively.]]

A Pople diagram or Pople's Diagram is a diagram which describes the relationship between various calculation methods in computational chemistry. It was initially introduced in January 1965 by Sir John Pople, {{post-nominals|country=GBR|KBE|FRS}}, during the Symposium of Atomic and Molecular Quantum Theory in Florida.{{cite journal |last= Karplus |first= Martin |date= July 1990 |title= Three-dimensional "Pople diagram" |journal= J. Phys. Chem. |volume= 14 |issue= 94 |pages= 5435–5436 |doi= 10.1021/j100377a002 }} The Pople Diagram can be either 2-dimensional or 3-dimensional, with the axes representing ab initio methods, basis sets and treatment of relativity.{{cite book |last= Dolg|first= Michael|date= 17 February 2015|title= Computational Methods in Lanthanide and Actinide Chemistry|url= https://books.google.com/books?id=cmu5BgAAQBAJ&q=pople+diagram&pg=PT200|publisher= John Wiley & Sons, 2015|page= 480|isbn= 9781118688281}} The diagram attempts to balance calculations by giving all aspects of a computation equal weight.

History

File:John Anthony Pople.png

John Pople first introduced the Pople Diagram during the Symposium on Atomic and Molecular Quantum Theory held on Sanibel Island, Florida, in January 1965. He called it a "hyperbola of quantum chemistry", which illustrates the inverse relationship between the sophistication of a calculational method and the number of electrons in a molecule that can be studied by that method. Alternative (reverse) arrangement of the vertical axis or interchange of the two axes are also possible.{{cite journal|last1=Vereecken|first1=Luc|last2=Franciscob|first2= Joseph|journal=Chem. Soc. Rev.|volume=41|issue=19|pages=6259–6293|title=Theoretical studies of atmospheric reaction mechanisms in the troposphere|year=2012|doi=10.1039/C2CS35070J|pmid=22660412}}{{cite journal|last= Auer|first= Alexander A.|date= September 4, 2014|title= Electron Correlation - Methods beyond Hartree-Fock, how to approach chemical accuracy|url= http://www.cec.mpg.de/media/Presse/Medien/Auer_Electron_Correlation.pdf|journal= Max-Planck-Institute for Chemical Energy Conversion, Mülheim|access-date= October 21, 2015|archive-url= https://web.archive.org/web/20160304053546/http://www.cec.mpg.de/media/Presse/Medien/Auer_Electron_Correlation.pdf|archive-date= March 4, 2016|url-status= dead}}

Three-Dimensional Pople Diagrams

The 2-dimensional Pople diagram describes the convergence of the quantum-mechanical nonrelativistic electronic energy with the size of the basis set and the level of electron correlation included in the wavefunction.{{cite journal

|title = Two‐Dimensional Chart of Quantum Chemistry.

|author = J. A. Pople

|journal = Journal of Chemical Physics

|volume = 43

|issue = 10

|pages = S229–S230

|year = 1965

|doi= 10.1063/1.1701495|bibcode = 1965JChPh..43S.229P}} In order to reproduce accurate experimental thermochemical properties, secondary energetic contributions have to be considered. The third dimension of the Pople diagram consists of such energetic contributions. These contributions may include: spin–orbit interaction, scalar relativistic, zero-point vibrational energy, and deviations from the Born–Oppenheimer approximation. The three-dimensional Pople diagram (also known as the Csaszar cube.{{cite journal

|title = Anatomy of relativistic energy corrections in light molecular systems.

|author1=G. Tarczay |author2=A. G. Csaszar |author3=W. klopper |author4=H. M. quiney |journal = Molecular Physics

|volume=99 |issue=21 |pages=1769 |year = 2001

|doi= 10.1080/00268970110073907|bibcode=2001MolPh..99.1769T|s2cid=56163821 }}) describes the energy contributions involved in quantum chemistry composite methods.{{cite journal

|title = A computational chemist's guide to accurate thermochemistry for organic molecules.

|author = A. Karton

|journal = Wiley Interdisciplinary Reviews: Computational Molecular Science

|volume = 6

|issue = 3

|pages = 292–310

|year = 2016

|doi= 10.1002/wcms.1249|s2cid = 102248364

|url = https://api.research-repository.uwa.edu.au/ws/files/108321445/ak064_WIREs_2016.pdf

}}

See also

References