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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This study scrutinizes the complexities of designing and exploring the potential energy surfaces of systems containing more than twenty atoms with planar tetracoordinate carbons (ptCs). To tackle this issue, we utilized an established design rule to design a Naphtho [1,2-b:3,4-b′:5,6-b″:7,8-b′′′]tetrathiophene derivative computationally. This process began with substituting S atoms with CH units, then replacing three sequential protons with two Si2+ units in the resultant polycyclic aromatic hydrocarbon polyanion. Despite not representing the global minimum, the newly designed Si8C22 system with four ptCs provided valuable insights into strategic design and potential energy surface exploration. Our results underscore the importance of employing adequate methodologies to confirm the stability of newly designed molecular structures containing planar hypercoordinate carbons.

Details

Title
Exploring the Potential Energy Surface of Medium-Sized Aromatic Polycyclic Systems with Embedded Planar Tetracoordinate Carbons: A Guided Approach
Author
Inostroza, Diego 1   VIAFID ORCID Logo  ; Leyva-Parra, Luis 1   VIAFID ORCID Logo  ; Yañez, Osvaldo 2   VIAFID ORCID Logo  ; Cooksy, Andrew L 3   VIAFID ORCID Logo  ; Thimmakondu, Venkatesan S 3   VIAFID ORCID Logo  ; Tiznado, William 4   VIAFID ORCID Logo 

 Centro de Química Teórica & Computacional (CQT&C), Departamento de Ciencias Químicas, Facultad de Ciencias Exactas, Universidad Andrés Bello, Avenida República 275, Santiago 8370146, Chile; [email protected] (D.I.); [email protected] (L.L.-P.); Programa de Doctorado en Fisicoquímica Molecular, Facultad de Ciencias Exactas, Universidad Andrés Bello, Avenida República 275, Santiago 8370146, Chile 
 Núcleo de Investigación de Data Science, Facultad de Ingeniería y Negocios, Universidad de las Américas, Santiago 7500000, Chile; [email protected] 
 Departament of Chemistry and Biochemistry, San Diego State University, San Diego, CA 92182-1030, USA; [email protected] 
 Centro de Química Teórica & Computacional (CQT&C), Departamento de Ciencias Químicas, Facultad de Ciencias Exactas, Universidad Andrés Bello, Avenida República 275, Santiago 8370146, Chile; [email protected] (D.I.); [email protected] (L.L.-P.) 
First page
1535
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
26248549
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2869309846
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.