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From Atoms to Applications: Computational Design, Prediction, and Simulation of Materials

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

Deadline for manuscript submissions: 30 April 2025 | Viewed by 59

Special Issue Editors


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Guest Editor
Department of Chemistry and Biochemistry, Utah State University, Logan, UT, USA
Interests: quantum chemistry; h-bonds; noncovalent bonds; tetrel bonds; pnicogen bonds; chalcogen bonds; halogen bonds; structure and function of biomolecules like proteins
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Chemistry, University of California, Berkeley, CA 94720, USA
Interests: physical chemistry; quantum chemistry; quantum computing; materials science; chemical bonding

Special Issue Information

Dear Colleagues,

Every technological advancement is directly linked to a specific set of materials. Currently, our society faces numerous pressing challenges that require innovative material solutions, such as the development of efficient green energy technologies, the energy storage of environmentally benign fuels, carbon capture, and others. These demands require the discovery of new materials with a very specific narrow spectrum of properties for each application. In addition, computational materials design already plays a central role in the rapidly evolving field of materials science. As the experimental discovery of new materials is an inherently costly and time-consuming process, computationally guided synthesis will accelerate innovation. With the development of theoretical methods for electronic-structure simulations, molecular dynamics, Monte Carlo simulations, thermodynamic sampling techniques, crystal structure prediction, global minima searches of high-dimensional potential energy surfaces, and others, the importance and applicability of computational materials design are expected to grow substantially.

This Special Issue intends to provide a comprehensive overview of the dynamic and rapidly evolving field of computational materials science. We aim to showcase the latest advancements and applications in the computational design, prediction, and simulation of materials. We invite researchers to submit their cutting-edge work that highlights the critical importance of computational methods in materials science.

Prof. Dr. Steve Scheiner
Dr. Nikolay V. Tkachenko
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

  • molecular modeling
  • machine learning
  • materials science
  • computational techniques
  • theoretical and computational chemistry
  • molecular dynamics

Published Papers

This special issue is now open for submission.
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