A discussion on the relativistic corrections of the electronic structures of multi‐electron atoms.

  • Published In: International Journal of Quantum Chemistry, 2023, v. 123, n. 19. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Nanni, Luca 3 of 3

Abstract

The theory of special relativity is a topic not addressed in theoretical chemistry courses. Einstein's theory of relativity is mainly applied to high‐energy phenomena governed by physical laws not used to describe the chemical bond. Nevertheless, the electrons of heavy elements orbit around the nucleus with relativistic velocities. Here it is, then, the laws that appeared so unusual for chemistry became fundamental tools for investigating the properties of these atoms. Studying the electronic structure of heavy elements is the best place for chemists to learn to tame the pitfalls of a little‐known subject, such as Einstein's theory, and become familiar with its elegant formalism. In this paper, the main relativistic approaches to quantum chemistry are revisited. The problem of the finite nuclear size, the approximation methods used to solve the relativistic equations for k‐shell electrons, and the problem of the negative energy continuum are investigated. Some ansatzes to solve divergence's problem of relativistic corrections near the nucleus are proposed. Finally, a possible connection between the self‐consistent field method and bondonic chemistry is also investigated. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Quantum Chemistry. 2023/10, Vol. 123, Issue 19, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0020-7608
  • DOI:10.1002/qua.27182
  • Accession Number:170008416
  • Copyright Statement:Copyright of International Journal of Quantum Chemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.