International Journal of Quantum Chemistry最新文献

Phenylene, a significant structural motif in organic chemistry, exhibits remarkable electron delocalization and stability. In this paper, we first present reduction formulas for computing the matching polynomial and the independence polynomial of any phenylene chain using the transfer matrix technique. We then derive computational formulas for the Hosoya index and the Merrifield–Simmons index of phenylene chains. Additionally, we obtain the expected values of the Hosoya index and the Merrifield–Simmons index for a random phenylene chain.

The main goal is to use the fractional natural decomposition approach to solve diffusion equations related to oil pollution. We examine a model that depicts the evolution of chemical processes in a network that burns helium. Elegant consolidations of nature transform with Adomian decomposition method are made possible by the Caputo operator with fractional order taken into consideration and hired algorithm. We looked at the expected model in a different sequence using fraction to show the expected algorithm's proficiency. Moreover, plots for various arbitrary orders have taken use of the physical characteristics of the obtained results. The obtained findings verify that the algorithm under consideration is highly efficient, methodical, straightforward to use, and accurate in examining the characteristics of the fractional differential system connected to related fields.

Chemical graph theory is an important field in mathematical chemistry that uses domination degree-based indices to convert the chemical structure of molecules into numerical values. These indices help investigate physico-chemical properties, pharmacokinetic properties, and biological activity in QSPR and QSAR studies. Among the most life-threatening diseases, cancer remains a major global health concern. Various anticancer drugs like Tegafur, Floxuridine, etc., are employed to combat different cancer types. This paper designs a QSPR model to predict selected physico-chemical and ADMET properties of these anticancer drugs using indices like the first, second, and modified first Zagreb domination topological index; forgotten, hyper, and modified forgotten domination topological index; and first, second, and modified first Zagreb $��\gamma �$-domination topological index; forgotten, hyper, and modified forgotten $��\gamma �$-domination topological index, via $��{�\varphi �}_{�d�}�$- and $��{�\varphi �}_{�\gamma �}�$-polynomials. The relationship analyzes for these properties with the domination degree-based indices are conducted using the inverse cubic regression method. The results can correlate with other properties, aiding in constructing a disease-based drug library.

Oligothiophenes have attracted a lot of attention due to their excellent photoelectric properties. However, the effects of ring fusion and furan substitution on the optoelectrical properties of oligothiophenes are still unclear. In this study, based on popular pentathiophene, eight molecules including three ring-fused and five furan-substituted derivatives are systematically designed, and their frontier molecular orbitals, dipole moments, planarity, exciton binding energy (E_b), singlet-triplet energy differences, and fluorescence quantum yields are calculated. The computed data demonstrate that full-ring fusion and two- and more-furan substitutions can greatly enhance the fluorescence quantum yields. Five potential molecules with about 100% of fluorescence quantum yield, i.e., TTTTT, SOSOS, OSOSO, SOOOS, and OOOOO, are screened. The results show that to obtain high fluorescence quantum yield, high E_b is required, and the flexible torsional displacement during the excitation from ground to the first excited state should be removed as much as possible. This work sheds some light on the future design of high-performance oligothiophene-based fluorescent materials.

The global potential energy surface (PES) of PH₂⁺(1³A″) was constructed using permutation invariant polynomial neural network method based on 18 566 ab initio energy points. In ab initio calculation, aug-cc-pVQZ and aug-cc-pwCVQZ basis sets were used for H and P⁺, respectively. The topographic features of the PES were discussed in detail and compared with available theoretical and experimental values. The results indicate that the PES is well fitted by using neural network method. In addition, quasi-classical trajectory (QCT) calculations were carried out for the P⁺(³P) + D₂ reaction in the collision energy range from 1.2 to 8.0 eV. The integral cross sections were reported and compared with experimental data. The differential cross sections were also calculated, and it reflects that the “complex-forming” mechanism dominates the reaction in the low collision energy range, and direct abstraction mechanism plays a dominant role in the high collision energy range.

In this paper, we have explored the influence of alkylene-bridged length and coordination mode on the reactivity of a series of 24 alkylene-bridged palladium complexes using computational tools (B3PW91/LANL2DZ//6-31G(d) level) in gas phase and DMSO. These palladium complexes prefer a boat and chair configuration for methylene and ethylene bridge length, respectively. In addition, phenyl and nitro complexes present a higher activation for Pd—C bonds while the most stable Pd⋯C interactions are observed for abnormal mode with methylene bridge. According to the energy decomposition analysis (EDA), hydrogen and phenyl complexes in both chelation modes present a better electrostatic character. Moreover, Pd⋯C interactions are stronger compared to the Pd⋯X ones for ethylene-bridged abnormal complexes (in gas phase). Finally, the donation/back-donation ratio (d/b) values reveal the Fischer carbene character of these [bis(NHC)]⋯[PdX₂] interactions. Concerning the hybridization around the metal cation for the Pd—C bond, the sp²d type is observed for methylene-bridged palladium complexes while the sp³ one is observed for ethylene bridge complexes.

Topological indices (TIs) are numerical parameters that characterize the biochemical and physio-chemical properties of compounds. These graph-based descriptors are valuable tools for predicting key attributes, such as melting points, boiling points, bond energies, and bond lengths, based on the molecular structures of the compounds. A variety of TIs have been developed, including the Randić index, Zagreb index, atom-bond connectivity index, geometric index, and harmonic index. In this work, we introduce a new topological index called the neighborhood face index, which demonstrates a strong correlation with various physical properties such as bond energies and boiling points, achieving a correlation coefficient of $��R�\ge �0.9994�$. This indicates its robust predictive capability. Furthermore, the results are thoroughly analyzed using graphical tools to provide deeper insights.

Alzheimer's disease (AD) is a neurodegenerative condition that leads to the deterioration of brain cells, resulting in memory loss, thinking, and executive skills. In this work, 4-amino-2-chloro-6,7-dimethoxyquinazoline (ACDQ) has been studied using the 6–311++G(d,p) B3LYP functional of the density functional theory (DFT) approach utilizing a basis set. Geometry optimization and fundamental vibrational frequencies are calculated using the above method. The spectroscopic investigations such as FT-IR, FT-Raman, and UV–Vis spectra are performed on the selected compound. The time-dependent DFT calculations are performed in the gas and water phases to determine electronic properties and energy gap using the same basis set. Charge density distributions have been used to illustrate the energy gap between the highest occupied and lowest unoccupied molecular orbitals. Mulliken population analysis is performed to determine the atomic charges of ACDQ. From the natural bond orbital analysis, it is observed that there is a significant electron delocalization in ACDQ due to the presence of intramolecular interactions. To evaluate ACDQ's anti-Alzheimer potential, a molecular docking simulation is used to assess its structural stability and biological activity against proteins associated with Alzheimer's disease. Our docking study revealed that, ACDQ has a strong interaction with 4EY7 protein with binding energy of −8.1 kcal mol⁻¹. Additionally, metrics such as the root mean square deviation (RMSD), root mean square fluctuation (RMSF), and the radius of gyration are considered (R_g) were computed using molecular dynamics simulations to evaluate the stability of the protein–ligand interaction. Studies on the ADMET prediction of ACDQ have also been carried out. The findings of the current study support the potential of ACDQ as an effective lead therapeutic for Alzheimer's disease.