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Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule?
Schwarting, Marcus; Seifert, Nathan A; Davis, Michael J; Blaiszik, Ben; Foster, Ian; Prozument, Kirill.
Afiliación
  • Schwarting M; Department of Computer Science, University of Chicago, Chicago, Illinois 60637, USA.
  • Seifert NA; Department of Chemistry and Chemical and Biomedical Engineering, University of New Haven, West Haven, Connecticut 06516, USA.
  • Davis MJ; Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60439, USA.
  • Blaiszik B; Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois 60439, USA.
  • Foster I; Department of Computer Science, University of Chicago, Chicago, Illinois 60637, USA.
  • Prozument K; Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois 60439, USA.
J Chem Phys ; 161(4)2024 Jul 28.
Article en En | MEDLINE | ID: mdl-39051838
ABSTRACT
Rotational spectroscopy is the most accurate method for determining structures of molecules in the gas phase. It is often assumed that a rotational spectrum is a unique "fingerprint" of a molecule. The availability of large molecular databases and the development of artificial intelligence methods for spectroscopy make the testing of this assumption timely. In this paper, we pose the determination of molecular structures from rotational spectra as an inverse problem. Within this framework, we adopt a funnel-based approach to search for molecular twins, which are two or more molecules, which have similar rotational spectra but distinctly different molecular structures. We demonstrate that there are twins within standard levels of computational accuracy by generating rotational constants for many molecules from several large molecular databases, indicating that the inverse problem is ill-posed. However, some twins can be distinguished by increasing the accuracy of the theoretical methods or by performing additional experiments.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Chem Phys Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Chem Phys Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos