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Development and Application of Computational Chemistry Methods

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Chemical and Molecular Sciences".

Deadline for manuscript submissions: 10 July 2025 | Viewed by 713

Special Issue Editors


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Guest Editor
Department of Physics, University of Milan, Via Celoria 16, 20133 Milan, Italy
Interests: computational chemistry; DFT; TDDFT; classical molecular dynamics; enhanced sampling; multiscale modeling; nanoscience; plasmonics; catalysis

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Guest Editor
School of Earth Sciences, Ohio State University, Columbus, OH, USA
Interests: neutron scattering; molecular dynamics simulations; Monte Carlo simulations; confined fluids; neutron radiography; dielectric relaxation spectroscopy; differential scanning calorimetry; small angle scattering; porous media; diffusive motion adsorption

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Guest Editor
Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 17, 1090 Vienna, Austria
Interests: computational chemistry; strong coupling; excited states; multiscale modeling; metal nanoparticles; nanoscience; plasmonics; polaritonics

Special Issue Information

Dear Colleagues,

Computational chemistry has emerged as a pivotal field in modern science, revolutionizing our ability to model and understand complex chemical phenomena. As computing facilities, algorithms complexity, and analysis tools continue to improve, computational techniques offer unprecedented opportunities for fundamental and applied research.

This Special Issue aims to collect the latest advancements in these approaches, highlighting recent innovations in theoretical and computational methodologies and presenting how they enhance our understanding of chemical systems and drive new experimental investigations. By featuring contributions that showcase advances in algorithms, software, and simulations, this issue wants to provide a comprehensive overview of how computational chemistry is shaping the future of scientific inquiry and technological progress.

Dr. Mirko Vanzan
Dr. Siddharth Gautam
Dr. Marco Romanelli
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.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
  • molecular modeling
  • theoretical chemistry
  • high-performance computing
  • machine learning
  • quantum computing
  • multiscale modeling
  • ab initio simulations
  • classical molecular dynamics

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Published Papers (1 paper)

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Research

27 pages, 7034 KiB  
Article
Computational Insights into Aluminum and Cation Placement in Clinoptilolite: Optimizing DFT Parameters for Natural Zeolites, Part I
by Lobna Saeed and Michael Fischer
Appl. Sci. 2025, 15(7), 3955; https://doi.org/10.3390/app15073955 - 3 Apr 2025
Viewed by 249
Abstract
Several experimental studies have shown that clinoptilolite zeolite is a suitable candidate for the adsorption of pharmaceuticals and related compounds. However, there is a significant lack of detailed molecular-level insights regarding how the adsorbed species interact with the zeolite surface. In this work, [...] Read more.
Several experimental studies have shown that clinoptilolite zeolite is a suitable candidate for the adsorption of pharmaceuticals and related compounds. However, there is a significant lack of detailed molecular-level insights regarding how the adsorbed species interact with the zeolite surface. In this work, we employ electronic structure calculations and propose a reliable set of input parameters within the CP2K code in the framework of dispersion-corrected density functional theory (DFT-D) to generate bulk models and study Al and cation distributions. We aim ultimately to investigate the adsorption of emerging contaminants at the clinoptilolite surfaces. Nine different exchange-correlation functionals were tested, and the results suggest that B97-D3 functional is the most robust for this system. Moreover, our results suggest that Na+ prefers the presence of Al at T2 and T3 sites but not at T1 sites and prefers being present in channel A and/or channel B. Ca2+ tends to favor being present in channel B and favors the presence of Al at T1, T2, and T3 sites. K+ prefers the smallest channel C and likes the presence of Al at T1 and T3 sites. Moreover, we found out that the optimization of the basis sets improves the coordination of extra-framework cations like Ca with the framework oxygens. Full article
(This article belongs to the Special Issue Development and Application of Computational Chemistry Methods)
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