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Artificial Intelligence for Crystal Growth and Characterization (2nd Edition)

This special issue belongs to the section “Crystal Engineering“.

Special Issue Information

Dear Colleagues,

The first volume of the Special Issue “Artificial Intelligence for Crystal Growth and Characterization” (https://www.mdpi.com/journal/crystals/special_issues/artificialintelligence_crystal) was an incredible success, and it is thus our pleasure to announce the second volume.

Machine learning and artificial intelligence methods in general have recently reached a stage at which they become increasingly useful to researchers in other fields. The goal of this Special Issue is to promote the use of those methods in the field of synthesis and characterization of crystalline materials. By bundling reports from all subdisciplines of crystal research and technology, this Special Issue aims to facilitate inspiration across all subdisciplines of crystal research. The sharing of developed software tools is particularly encouraged (for instance, by means of a public GitHub repository, or a private repository that can be shared upon request of interested authors, author’s webpages, etc.) but not mandatory.

Topics include but are not at all limited to: AI for high-throughput crystal characterization (e.g., AI-based evaluation of optical/SEM/AFM/X-ray images), AI for optimization of crystal growth processes, AI for identifying previously unrecognized but relevant process variables, AI for acceleration of numerical simulations related to crystal growth, AI for predictions of stability of crystalline materials, AI for prediction of synthesis outcomes, and AI for prediction of properties of crystalline materials. Topics beyond these suggestions are also very welcome, as long as they fit the outlined scope of the Special Issue.

Dr. Saskia Schimmel
Dr. Natasha Dropka
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 250 words) can be sent to the Editorial Office for assessment.

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. Crystals is an international peer-reviewed open access monthly 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 2100 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

  • artificial intelligence
  • machine learning
  • crystal growth
  • characterization of crystalline materials
  • novel crystalline materials

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Published Papers

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Crystals - ISSN 2073-4352