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Feature Papers in Computational and Theoretical Chemistry

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Computational and Theoretical Chemistry".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 5022

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Department of Chemistry, Chemical Theory Center, Inorganometallic Catalyst Design Center, Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455-0431, USA
Interests: chemical dynamics; catalysis; photochemistry; molecular modeling; computational thermodyanmics; electronic structure theory
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Classe di Scienze, Scuola Normale Superiore, Piazza dei Cavalieri, 7, I-56126 Pisa, Italy
Interests: theoretical and computational chemistry; embedding models; solvent effects; computational spectroscopy; molecular properties; chirality

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Centro Singular de Investigación en Química Biolóxica e Materiais Moleculares (CIQUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
Interests: computational chemistry; chemical reaction dynamics; chemical kinetics; reaction rate theory; tunneling effect in chemistry; atmospheric chemistry; combustion chemistry; hydrogen and proton transfer reactions
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LAQV-REQUIMTE, Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
Interests: theoretical and computational chemistry; electronic structure theory; quantum theory of atoms in molecules; catalysis; materials science; molecular modelling and simulations; machine learning tools

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Materials Science & Engineering Program, University of California, Riverside, CA 92521, USA
Interests: time-dependent density functional theory; electronic-excited states nanomaterials; new hardware development; quantum control
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Special Issue Information

Dear Colleagues,

We are thrilled to unveil this Special Issue dedicated to "Feature Papers in Computational and Theoretical Chemistry". Within this collection, we aspire to shine a spotlight on the latest advancements within the realms of computational and theoretical chemistry, drawing contributions from esteemed scientists across the globe.

We aim to collect research articles and comprehensive reviews that delve into the intricacies of computational and theoretical chemistry. Whether your work explores quantum mechanics, molecular modeling, artificial intelligence applications, or any other facet of this dynamic field, we welcome your insights and findings.

Within this Special Issue, you will find papers spanning a wide array of themes, including materials, photochemistry, thermochemistry, energy, environment, climate, drug design, and even the fascinating world of interstellar chemistry.

Join us in this captivating exploration of computational and theoretical chemistry's forefront. Share your research and become an integral part of the ongoing dialogue that propels our field to new heights.

Prof. Dr. Donald G. Truhlar
Dr. Chiara Cappelli
Prof. Dr. Antonio Fernández-Ramos
Dr. M. Natália D.S. Cordeiro
Prof. Dr. Bryan M. Wong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational chemistry
  • theoretical chemistry
  • thermochemistry
  • quantum chemistry
  • photochemistry
  • computational drug design
  • computational materials science
  • computational biochemistry
  • interstellar chemistry
  • computational spectroscopy
  • molecular dynamics
  • modeling of climate chemistry
  • modeling of environmental chemistry

Published Papers (8 papers)

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Research

11 pages, 2653 KiB  
Article
Theoretical Study of p-Block Metal Single-Atom-Loaded Carbon Nitride Catalyst for Photocatalytic Water Splitting
by Mengning Chen, Yidi Wu, Qiang Wan and Sen Lin
Molecules 2024, 29(9), 2030; https://doi.org/10.3390/molecules29092030 (registering DOI) - 28 Apr 2024
Abstract
Graphitic carbon nitride (g-C3N4), recognized for its considerable potential as a heterogeneous photocatalyst in water splitting, has attracted extensive research interest. By using density functional theory (DFT) calculations, the regulatory role of p-block metal (PM) single [...] Read more.
Graphitic carbon nitride (g-C3N4), recognized for its considerable potential as a heterogeneous photocatalyst in water splitting, has attracted extensive research interest. By using density functional theory (DFT) calculations, the regulatory role of p-block metal (PM) single atoms on the photocatalytic activity of g-C3N4 in overall water splitting was systematically explored. The incorporation of PM atoms (Ge, Sn and Pb) led to a reduction in the overpotentials required for both the oxygen evolution reaction (OER) and the hydrogen evolution reaction (HER). Combined with the electronic structures analysis via hybrid functional, it was found that the introduction of Ge, Sn or Pb optimizes the positions of the valence band maximum (VBM) and the conduction band minimum (CBM), providing a robust driving force for HER and ensuring substantial driving force for OER. Meanwhile, the presence of these three PMs induces the spatial separation of VBM and CBM, inhibiting the recombination of carriers. These findings have significant implications for the design and preparation of efficient photocatalysts. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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15 pages, 2980 KiB  
Article
Revealing the Critical Role of Global Electron Density Transfer in the Reaction Rate of Polar Organic Reactions within Molecular Electron Density Theory
by Luis R. Domingo and Mar Ríos-Gutiérrez
Molecules 2024, 29(8), 1870; https://doi.org/10.3390/molecules29081870 - 19 Apr 2024
Viewed by 234
Abstract
The critical role of global electron density transfer (GEDT) in increasing the reaction rate of polar organic reactions has been studied within the framework of Molecular Electron Density Theory (MEDT). To this end, the series of the polar Diels–Alder (P-DA) reactions of cyclopentadiene [...] Read more.
The critical role of global electron density transfer (GEDT) in increasing the reaction rate of polar organic reactions has been studied within the framework of Molecular Electron Density Theory (MEDT). To this end, the series of the polar Diels–Alder (P-DA) reactions of cyclopentadiene with cyanoethylene derivatives, for which experimental kinetic data are available, have been chosen. A complete linear correlation between the computed activation Gibbs free energies and the GEDT taking place at the polar transition state structures (TSs) is found; the higher the GEDT at the TS, the lower the activation Gibbs free energy. An interacting quantum atoms energy partitioning analysis allows for establishing a complete linear correlation between the electronic stabilization of the electrophilic ethylene frameworks and the GEDT taking place at the polar TSs. This finding supports Parr’s proposal for the definition of the electrophilicity ω index. The present MEDT study establishes the critical role of the GEDT in the acceleration of polar reactions, since the electronic stabilization of the electrophilic framework with the electron density gain is greater than the destabilization of the nucleophilic one, making a net favorable electronic contribution to the decrease in the activation energy. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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18 pages, 5996 KiB  
Article
A Comprehensive Study of Al2O3 Mechanical Behavior Using Density Functional Theory and Molecular Dynamics
by Mostafa Fathalian, Eligiusz Postek, Masoud Tahani and Tomasz Sadowski
Molecules 2024, 29(5), 1165; https://doi.org/10.3390/molecules29051165 - 05 Mar 2024
Viewed by 602
Abstract
This study comprehensively investigates Al2O3′s mechanical properties, focusing on fracture toughness, surface energy, Young’s modulus, and crack propagation. The density functional theory (DFT) is employed to model the vacancies in Al2O3, providing essential insights into [...] Read more.
This study comprehensively investigates Al2O3′s mechanical properties, focusing on fracture toughness, surface energy, Young’s modulus, and crack propagation. The density functional theory (DFT) is employed to model the vacancies in Al2O3, providing essential insights into this material’s structural stability and defect formation. The DFT simulations reveal a deep understanding of vacancy-related properties and their impact on mechanical behavior. In conjunction with molecular dynamics (MD) simulations, the fracture toughness and crack propagation in Al2O3 are explored, offering valuable information on material strength and durability. The surface energy of Al2O3 is also assessed using DFT, shedding light on its interactions with the surrounding environment. The results of this investigation highlight the significant impact of oxygen vacancies on mechanical characteristics such as ultimate strength and fracture toughness, drawing comparisons with the effects observed in the presence of aluminum vacancies. Additionally, the research underscores the validation of fracture toughness outcomes derived from both DFT and MD simulations, which align well with findings from established experimental studies. Additionally, the research underscores the validation of fracture toughness outcomes derived from DFT and MD simulations, aligning well with findings from established experimental studies. The combination of DFT and MD simulations provides a robust framework for a comprehensive understanding of Al2O3′s mechanical properties, with implications for material science and engineering applications. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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19 pages, 2687 KiB  
Article
Probing Non-Covalent Interactions through Molecular Balances: A REG-IQA Study
by Fabio Falcioni, Sophie Bennett, Pallas Stroer-Jarvis and Paul L. A. Popelier
Molecules 2024, 29(5), 1043; https://doi.org/10.3390/molecules29051043 - 28 Feb 2024
Viewed by 583
Abstract
The interaction energies of two series of molecular balances (1-X with X = H, Me, OMe, NMe2 and 2-Y with Y = H, CN, NO2, OMe, NMe2) designed to probe carbonyl…carbonyl interactions were analysed at the B3LYP/6-311++G(d,p)-D3 level [...] Read more.
The interaction energies of two series of molecular balances (1-X with X = H, Me, OMe, NMe2 and 2-Y with Y = H, CN, NO2, OMe, NMe2) designed to probe carbonyl…carbonyl interactions were analysed at the B3LYP/6-311++G(d,p)-D3 level of theory using the energy partitioning method of Interacting Quantum Atoms/Fragments (IQA/IQF). The partitioned energies are analysed by the Relative Energy Gradient (REG) method, which calculates the correlation between these energies and the total energy of a system, thereby explaining the role atoms have in the energetic behaviour of the total system. The traditional “back-of-the-envelope” open and closed conformations of molecular balances do not correspond to those of the lowest energy. Hence, more care needs to be taken when considering which geometries to use for comparison with the experiment. The REG-IQA method shows that the 1-H and 1-OMe balances behave differently to the 1-Me and 1-NMe2 balances because the latter show more prominent electrostatics between carbonyl groups and undergoes a larger dihedral rotation due to the bulkiness of the functional groups. For the 2-Y balance, REG-IQA shows the same behaviour across the series as the 1-H and 1-OMe balances. From an atomistic point of view, the formation of the closed conformer is favoured by polarisation and charge-transfer effects on the amide bond across all balances and is counterbalanced by a de-pyramidalisation of the amide nitrogen. Moreover, focusing on the oxygen of the amide carbonyl and the α-carbon of the remaining carbonyl group, electrostatics have a major role in the formation of the closed conformer, which goes against the well-known n-π* interaction orbital overlap concept. However, REG-IQF shows that exchange–correlation energies overtake electrostatics for all the 2-Y balances when working with fragments around the carbonyl groups, while they act on par with electrostatics for the 1-OMe and 1-NMe2. REG-IQF also shows that exchange–correlation energies in the 2-Y balance are correlated to the inductive electron-donating and -withdrawing trends on aromatic groups. We demonstrate that methods such as REG-IQA/IQF can help with the fine-tuning of molecular balances prior to the experiment and that the energies that govern the probed interactions are highly dependent on the atoms and functional groups involved. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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22 pages, 3736 KiB  
Article
Formulation Optimization and Performance Prediction of Red Mud Particle Adsorbents Based on Neural Networks
by Longjiang Li, Yalan Wang and Wenyuan Wang
Molecules 2024, 29(5), 970; https://doi.org/10.3390/molecules29050970 - 22 Feb 2024
Cited by 1 | Viewed by 565
Abstract
Red mud (RM), a bauxite residue, contains hazardous radioactive wastes and alkaline material and poses severe surface water and groundwater contamination risks, necessitating recycling. Pretreated RM can be used to make adsorbents for water treatment. However, its performance is affected by many factors, [...] Read more.
Red mud (RM), a bauxite residue, contains hazardous radioactive wastes and alkaline material and poses severe surface water and groundwater contamination risks, necessitating recycling. Pretreated RM can be used to make adsorbents for water treatment. However, its performance is affected by many factors, resulting in a nonlinear correlation and coupling relationship. This study aimed to identify the best formula for an RM adsorbent using a mathematical model that examines the relationship between 11 formulation types (e.g., pore-assisting agent, component modifier, and external binder) and 9 properties (e.g., specific surface area, wetting angle, and Zeta potential). This model was built using a back-propagation neural network (BP) based on single-factor experimental data and orthogonal experimental data. The model trained and predicted the established network structure to obtain the optimal adsorbent formula. The RM particle adsorbents had a pH of 10.16, specific surface area (BET) of 48.92 m2·g−1, pore volume of 2.10 cm3·g−1, compressive strength (ST) of 1.12 KPa, and 24 h immersion pulverization rate (ηm) of 3.72%. In the removal of total phosphorus in flotation tailings backwater, it exhibited a good adsorption capacity (Q) and total phosphorous removal rate (η) of 48.63 mg·g−1 and 95.13%, respectively. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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15 pages, 2525 KiB  
Article
An Efficient Approach to the Accurate Prediction of Mutational Effects in Antigen Binding to the MHC1
by Mengchen Zhou, Fanyu Zhao, Lan Yu, Jinfeng Liu, Jian Wang and John Z. H. Zhang
Molecules 2024, 29(4), 881; https://doi.org/10.3390/molecules29040881 - 16 Feb 2024
Viewed by 780
Abstract
The major histocompatibility complex (MHC) can recognize and bind to external peptides to generate effective immune responses by presenting the peptides to T cells. Therefore, understanding the binding modes of peptide–MHC complexes (pMHC) and predicting the binding affinity of pMHCs play a crucial [...] Read more.
The major histocompatibility complex (MHC) can recognize and bind to external peptides to generate effective immune responses by presenting the peptides to T cells. Therefore, understanding the binding modes of peptide–MHC complexes (pMHC) and predicting the binding affinity of pMHCs play a crucial role in the rational design of peptide vaccines. In this study, we employed molecular dynamics (MD) simulations and free energy calculations with an Alanine Scanning with Generalized Born and Interaction Entropy (ASGBIE) method to investigate the protein–peptide interaction between HLA-A*02:01 and the G9209 peptide derived from the melanoma antigen gp100. The energy contribution of individual residue was calculated using alanine scanning, and hotspots on both the MHC and the peptides were identified. Our study shows that the pMHC binding is dominated by the van der Waals interactions. Furthermore, we optimized the ASGBIE method, achieving a Pearson correlation coefficient of 0.91 between predicted and experimental binding affinity for mutated antigens. This represents a significant improvement over the conventional MM/GBSA method, which yields a Pearson correlation coefficient of 0.22. The computational protocol developed in this study can be applied to the computational screening of antigens for the MHC1 as well as other protein–peptide binding systems. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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18 pages, 3303 KiB  
Article
Confining He Atoms in Diverse Ice-Phases: Examining the Stability of He Hydrate Crystals through DFT Approaches
by Raquel Yanes-Rodríguez and Rita Prosmiti
Molecules 2023, 28(23), 7893; https://doi.org/10.3390/molecules28237893 - 01 Dec 2023
Viewed by 886
Abstract
In the realm of solid water hydrostructures, helium atoms have a tendency to occupy the interstitial spaces formed within the crystal lattice of ice structures. The primary objective of this study is to examine the stability of various ice crystals when influenced by [...] Read more.
In the realm of solid water hydrostructures, helium atoms have a tendency to occupy the interstitial spaces formed within the crystal lattice of ice structures. The primary objective of this study is to examine the stability of various ice crystals when influenced by the presence of He atoms. Presenting a first attempt at a detailed computational description of the whole energy components (guest–water, water–water, guest–guest) in the complete crystal unit cells contributes to enhancing the knowledge available about these relatively unexplored helium–water systems, which could potentially benefit future experiments. For this purpose, two different ice structures were considered: the previously established He@ice II system, and the predicted (but currently nonexistent) He@ice XVII system. One of the main features of these He-filled structures is the stability conferred by the weak van der Waals dispersion forces that occur between the host lattice and the guest atoms, in addition to the hydrogen bonds established among the water molecules. Hence, it is crucial to accurately describe these interactions. Therefore, the first part of this research is devoted examining the performance and accuracy of various semi-local and non-local DFT/DFT-D functionals, in comparison with previous experimental and/or high-level computational data. Once the best-performing DFT functional has been identified, the stability of these empty and He-filled structures, including different number of He atoms within the lattices, is analysed in terms of their structural (lattice deformation), mechanical (pressure compression effects) and energetic properties (binding and saturation energies). In this manner, the potential formation of these structures under zero temperature and pressure conditions can be evaluated, while their maximum storage capacity is also determined. The obtained results reveal that, despite the weak underlying interactions, the He encapsulation has a rather notable effect on both lattice parameters and energetics, and therefore, the guest–host interactions are far from being negligible. Besides, both ice crystals are predicted to remain stable when filled with He atoms, with ice XVII exhibiting a higher capacity for accommodating a larger number of guest atoms within its interstitial spaces. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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13 pages, 1514 KiB  
Article
Calculation of Mechanical Properties, Electronic Structure and Optical Properties of CsPbX3 (X = F, Cl, Br, I)
by Yang Liu, Canxiang Fang, Shihe Lin, Gaihui Liu, Bohang Zhang, Huihui Shi, Nan Dong, Nengxun Yang, Fuchun Zhang, Xiang Guo and Xinghui Liu
Molecules 2023, 28(22), 7643; https://doi.org/10.3390/molecules28227643 - 17 Nov 2023
Viewed by 885
Abstract
We utilized a first-principle density functional theory for a comprehensive analysis of CsPbX3 (X = F, Cl, Br, I) to explore its physical and chemical properties, including its mechanical behavior, electronic structure and optical properties. Calculations show that all four materials have [...] Read more.
We utilized a first-principle density functional theory for a comprehensive analysis of CsPbX3 (X = F, Cl, Br, I) to explore its physical and chemical properties, including its mechanical behavior, electronic structure and optical properties. Calculations show that all four materials have good stability, modulus of elasticity, hardness and wear resistance. Additionally, CsPbX3 demonstrates a vertical electron leap and serves as a semiconductor material with direct band gaps of 3.600 eV, 3.111 eV, 2.538 eV and 2.085 eV. In examining its optical properties, we observed that the real and imaginary components of the dielectric function exhibit peaks within the low-energy range. Furthermore, the dielectric function gradually decreases as the photon energy increases. The absorption spectrum reveals that the CsPbX3 material exhibits the highest UV light absorption, and as X changes (with the increase in atomic radius within the halogen group of elements), the light absorption undergoes a red shift, becoming stronger and enhancing light utilization. These properties underscore the material’s potential for application in microelectronic and optoelectronic device production. Moreover, they provide a theoretical reference for future investigations into CsPbX3 materials. Full article
(This article belongs to the Special Issue Feature Papers in Computational and Theoretical Chemistry)
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