Exploring LocalReactivity of Large Systems throughCombining Conceptual DFT and the GFN2-xTB Method

This study evaluates the ability of the GFN2-xTB method and Conceptual Density Functional Theory-derived tools to predict local reactivity in large systems. Carbon-based systems such as C<sub>60</sub>, C<sub>70</sub>, Li<sup>+</sup>@C<sub>70</sub>, C<sub>240</sub>, C<sub>360</sub>, C<sub>648</sub>, and C<sub>720</sub> have been used as test sets, and the orbital-weighted dual descriptor was employed to identify nucleophilic and electrophilic regions, providing a comprehensive analysis of their reactivity patterns. The results confirm that the GFN2-xTB method accurately reproduces reactivity profiles observed experimentally and at the DFT level, particularly in well-known fullerenes like C<sub>60</sub> and C<sub>70</sub>. The addition of an endohedral Li<sup>+</sup> cation to C<sub>70</sub> demonstrated enhanced electrophilicity and reduced unfavorable nucleophilic regions, consistent with previous studies. For larger and less-studied systems, such as C<sub>240</sub>, C<sub>360</sub>, C<sub>648</sub>, and C<sub>720</sub>, the analysis revealed distinct reactivity features, including the localization of nucleophilic regions in −CC– units of C<sub>240</sub>/C<sub>648</sub>, the nucleophilic regions at the ends of the C<sub>360</sub> nanoparticle model, and the emergence of electrophilic zones due to the reduction in aromaticity of the benzenoid rings in C<sub>720</sub>. These findings validate the GFN2-xTB method as a computationally efficient alternative for exploring the reactivity of large structures and contribute valuable insights into their potential applications in molecular design for material science and nanotechnology.

Publication Details

Journal
Figshare
Published
2025-02-04
DOI
https://doi.org/10.1021/acs.jpca.4c05879.s001
Primary Topic
Fullerene Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring LocalReactivity of Large Systems throughCombining Conceptual DFT and the GFN2-xTB Method

Figshare
Fullerene Chemistry and Applications
article

Exploring LocalReactivity of Large Systems throughCombining Conceptual DFT and the GFN2-xTB Method

article en

Abstract

This study evaluates the ability of the GFN2-xTB method and Conceptual Density Functional Theory-derived tools to predict local reactivity in large systems. Carbon-based systems such as C<sub>60</sub>, C<sub>70</sub>, Li<sup>+</sup>@C<sub>70</sub>, C<sub>240</sub>, C<sub>360</sub>, C<sub>648</sub>, and C<sub>720</sub> have been used as test sets, and the orbital-weighted dual descriptor was employed to identify nucleophilic and electrophilic regions, providing a comprehensive analysis of their reactivity patterns. The results confirm that the GFN2-xTB method accurately reproduces reactivity profiles observed experimentally and at the DFT level, particularly in well-known fullerenes like C<sub>60</sub> and C<sub>70</sub>. The addition of an endohedral Li<sup>+</sup> cation to C<sub>70</sub> demonstrated enhanced electrophilicity and reduced unfavorable nucleophilic regions, consistent with previous studies. For larger and less-studied systems, such as C<sub>240</sub>, C<sub>360</sub>, C<sub>648</sub>, and C<sub>720</sub>, the analysis revealed distinct reactivity features, including the localization of nucleophilic regions in −CC– units of C<sub>240</sub>/C<sub>648</sub>, the nucleophilic regions at the ends of the C<sub>360</sub> nanoparticle model, and the emergence of electrophilic zones due to the reduction in aromaticity of the benzenoid rings in C<sub>720</sub>. These findings validate the GFN2-xTB method as a computationally efficient alternative for exploring the reactivity of large structures and contribute valuable insights into their potential applications in molecular design for material science and nanotechnology.

Figshare
Openalex Percentile: Top 58%
Fullerene Chemistry and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.