Login / Signup

Characterization of the 1-(5-(4,5-Dimethyl-1,3,2-dioxoborolan-2-yl)thiophen-2-yl)ethanone Using NMR 13 C, 1 H and 11 B through the Density Functional Theory.

Ulises J GuevaraJesús B Núñez RRafael Lozada-YavinaAnton TiutiunnykLaura M PérezPablo DíazNeudo UrdanetaDavid Laroze
Published in: Materials (Basel, Switzerland) (2023)
The use of computational methods that allow us to perform characterization on new compounds is not a novelty; nevertheless, the degree of complexity of the structures makes their study more challenging since new techniques and methods are required to adjust to the new structural model. The case of nuclear magnetic resonance characterization of boronate esters is fascinating because of its widespread use in materials science. In this paper, we use density functional theory to characterize the structure of the compound 1-[5-(4,5-Dimethyl-1,3,2-dioxaborolan-2-yl)thiophen-2-yl]ethanonea by means of nuclear magnetic resonance. We studied the compound in its solid form with the PBE-GGA and PBEsol-GGA functionals, with a set of plane wave functions and an augmented wave projector, which included gauge in CASTEP and its molecular structure with the B3LYP functional using the package Gaussian 09. In addition, we performed the optimization and calculation of the chemical shifts and isotropic nuclear magnetic resonance shielding of 1H, 13C, and 11B. Finally, we analyzed and compared the theoretical results with experimental diffractometric data observing a good approximation.
Keyphrases
  • magnetic resonance
  • density functional theory
  • molecular dynamics
  • contrast enhanced
  • high resolution
  • public health
  • machine learning
  • big data
  • artificial intelligence