Submissions

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Submission Preparation Checklist

All submissions must meet the following requirements.

  • The submission has not been previously published, nor is it before another journal for consideration (or an explanation has been provided in Comments to the Editor).
  • The submission file is in PDF document file format.
  • Where available, URLs for the references have been provided.
  • The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines.
  • The authors confirm that they own the right to publish all the data (numerical and experimental) that will be provided with the present submission.
  • The provided case(s) and/or code(s) include appropriate README files with basic instructions on how to use and compile them, respectively (See Authors's Guidellines - https://journal.openfoam.com/index.php/ofj/authorGuidelines).
  • The authors confirm that they have read the scope of the journal (https://journal.openfoam.com/index.php/ofj/about) and author’s guidelines (https://journal.openfoam.com/index.php/ofj/authorGuidelines)
  • The authors confirm that they have removed all identity data from the documents that will be subjected to review
  • I agree to have my data collected and stored according to the OpenFOAM® Journal Privacy Statement (https://journal.openfoam.com/index.php/ofj/about/privacy)
  • The provided case(s) and code(s) include the appropriate "Allrun" and "Allwmake" scripts for running and/or compiling them, respectively (See Authors's Guidellines - https://journal.openfoam.com/index.php/ofj/authorGuidelines)

Full Papers

Development of Innovative Solvers or Utilities, Applied Studies, and Verification & Validation
This section includes contributions presenting the development of novel solvers, boundary conditions, mesh tools, pre-/post-processing utilities, or other components that expand the capabilities of OpenFOAM, improving its performance, usability, or functionality. It also welcomes innovative studies employing existing solvers/utilities, as well as verification and validation works that assess and demonstrate the accuracy and reliability of OpenFOAM-based simulations.

Review Papers

Comprehensive Reviews and Surveys
This section features critical and in-depth reviews or surveys of OpenFOAM tools, methods, or workflows. These works should provide readers with a clear synthesis of current knowledge, highlight strengths and limitations, and assist users in selecting the most appropriate strategies for modelling specific challenges.

Educational Papers

Thorough Descriptions of Established Solvers, Tools, or Workflows
This section is dedicated to contributions offering detailed, pedagogically and scientifically sound explanations of established solvers, utilities, or workflows within the OpenFOAM ecosystem. Papers should aim to increase understanding, disseminate best practices, support experienced users, and reduce barriers for newcomers. Emphasis is placed on clarity, completeness, and practical guidance that enables the community to make informed and effective use of OpenFOAM capabilities.

Privacy Statement

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This journal’s editorial team uses this data to guide its work in publishing and improving this journal. Data that will assist in developing this publishing platform may be shared with its developer Public Knowledge Project in an anonymized and aggregated form, with appropriate exceptions such as article metrics. The data will not be sold by this journal or PKP nor will it be used for purposes other than those stated here. The authors published in this journal are responsible for the human subject data that figures in the research reported here.

Those involved in editing this journal seek to be compliant with industry standards for data privacy, including the European Union’s General Data Protection Regulation (GDPR) provision for “data subject rights” that include (a) breach notification; (b) right of access; (c) the right to be forgotten; (d) data portability; and (e) privacy by design. The GDPR also allows for the recognition of “the public interest in the availability of the data,” which has a particular saliency for those involved in maintaining, with the greatest integrity possible, the public record of scholarly publishing.

(Based on GDPR Guidebook for PKP Users)