Predicting whether aromatic molecules would prefer to enter a carbon nanotube: A density functional theory study

Intermolecular interaction energies with AROFRAG-A systematic approach for fragmentation of aromatic molecules

Intermolecular interactions with polycyclic aromatic hydrocarbons (PAHs) represent an important area of physisorption studies. These investigations are often hampered by a size of interacting PAHs, which makes the calculation prohibitively expensive. Therefore, methods designed to deal with large molecules could be helpful to reduce the computational costs of such studies. Recently we have introduced a new systematic approach for the molecular fragmentation of PAHs, denoted as AROFRAG, which decomposes a large PAH molecule into a set of predefined small PAHs with a benzene ring being the smallest unbreakable unit, and which in conjunction with the Molecules-in-Molecules (MIM) approach provides an accurate description of total molecular energies. In this contribution we propose an extension of the AROFRAG, which provides a description of intermolecular interactions for complexes composed of PAH molecules. The examination of interaction energy partitioning for various test cases shows that the AROFRAG3 model connected with the MIM approach accurately reproduces all important components of the interaction energy. An additional important finding in our study is that the computationally expensive long-range electron-correlation part of the interaction energy, that is, the dispersion component, is well described at lower AROFRAG levels even without MIM, which makes the latter models interesting alternatives to existing methods for an accurate description of the electron-correlated part of the interaction energy.

Mechanism simulation of polar and nonpolar organic solvent vapor adsorption on a multiwall carbon nanotubes paper gas sensor

We investigate the adsorption behavior of polar and nonpolar molecules on carbon nanotube interfaces through computational simulations. Gaussian 16 was utilized to calculate the total energy of each possible molecular structure and analyze the adsorption mechanisms in stacked and inline configurations. The study reveals that nonpolar molecules favor stacked adsorption on two graphene interfaces, while polar molecules prefer inline adsorption. The findings suggest that inline adsorption of polar molecules results in minimal changes to the local dielectric constant, which may explain the absence of multi-step adsorption isotherms. The research examines the stability and energetics of molecular adsorption on graphene layers simulating CNT interfaces. Different types of molecules (polar and nonpolar) exhibit distinct adsorption behaviors, with nonpolar molecules aligning with the IUPAC type VI isotherm model and polar molecules following the Langmuir isotherm model (IUPAC type I). This study provides insight into how molecules are likely to adsorb on CNT surfaces and the impact on the local dielectric constant. This understanding has implications for the design and optimization of CNT-based sensors, particularly in detecting organic solvents and gases in various environments.

Theoretical study of small aromatic molecules adsorbed in pristine and functionalised graphene

Small aromatic molecules are precursors for several biological systems such as DNA, proteins, drugs, and are also present in several pollutants. The understanding of the interaction of these small aromatic molecules with pristine and functionalised graphene (fGr) can generate different applications. We performed ab initio simulations based on the density functional theory to evaluate the interaction between the aromatic compounds, benzene, benzoic acid, aniline and phenol, with pristine and fGr. The results show that the binding energy for all cases is less than 103.24 kJ/mol (1.07 eV) without substantial modification of the electronic properties, indicating that the interaction occurs through a physical adsorption regime. The results are promising because they suggest that pristine graphene and functionalised graphene are suitable for removing these pollutants, or for carrying molecules for biological applications influenced by π-π and H-bonds interaction.

Assessment of long-range corrected density functional theory on the absorption and vibrationally resolved fluorescence spectrum of carbon nanobelts

Time-dependent (TD) density functional theory (DFT) and Franck-Condon Hertzberg-Teller (FCHT) calculations of various DFT functionals [B3LYP, CAM-B3LYP, ωB97XD, and optimally tuned (OT) long-range corrected (LC)-BLYP] were performed to examine how well DFT functionals can predict the experimental absorption and fluorescence spectra of a 12-carbon nanobelt (CNB). OT-LC-BLYP reproduced the experimental absorption spectrum well in terms of the peak position and intensity in the case of using a basis set with a diffuse function, such as 6-31+G(d,p) and 6-311+G(d,p), whereas B3LYP showed a red-shift in the peak positions and CAM-B3LYP and ωB97XD, which have a long-range HF exchange, showed blue shifts. Regarding the fluorescence spectrum calculations with FCHT using 6-311+G(d,p), the OT-LC-BLYP reproduced both the peak intensities and positions closest to the experimental spectrum. B3LYP, however, showed red-shifted peaks, and ωB97XD showed blue-shifted peaks. CAM-B3LYP provided less blue-shifted peaks, but the relative peak intensities mismatched the experimental ones. Furthermore, calculations of the absorption and vibrationally resolved fluorescence spectra of 16-CNB and 24-CNB using OT-LC-BLYP/6-311+G(d,p) showed absorption and fluorescence spectra close to the experimental spectra with high accuracy. Moreover, the application of a polarizable continuum model (dichloromethane) produced a red shift in the peak positions of the absorption spectrum with increasing intensity but an increase in the peak intensities of the fluorescence calculations without shifting the peak position.