Submissions

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Author Guidelines

Scholar J Computational Science (SJCS) welcomes original research, review articles, perspectives, methodological papers, and other scholarly contributions that advance computational science and its application across scientific disciplines.

Submissions should present clear research questions, sound computational or mathematical methodology, and sufficient detail to allow the work to be evaluated and, where appropriate, reproduced. Manuscripts may address scientific computing, computational modelling and simulation, artificial intelligence and machine learning for science, computational physics, computational materials science, computational chemistry, computational biology, scientific data science, high-performance computing, quantum computing, computational mathematics, computational engineering, and related areas.

Manuscripts must be original, must not have been published previously, and must not be under consideration by another journal. All authors should have made meaningful contributions to the work and must approve the submitted manuscript.

Authors should prepare manuscripts in clear academic English. Submissions should normally include a title, author information and affiliations, abstract, keywords, main text, references, and appropriate tables and figures. Mathematical expressions, computational methods, algorithms, simulations, datasets, and software should be described with sufficient detail to support rigorous assessment.

Authors are encouraged to make relevant datasets, source code, computational workflows, and other research materials available where appropriate, subject to ethical, legal, privacy, licensing, and security considerations. Any external datasets, software, or computational resources used should be properly acknowledged and cited.

References should be complete, accurate, and consistently formatted. Authors are responsible for ensuring that all sources cited in the manuscript appear in the reference list and that all references are correctly identified.

SJCS uses peer review to evaluate submissions for originality, scientific quality, methodological rigor, significance, clarity, and relevance to the journal's scope. The journal may screen submissions for plagiarism or substantial textual overlap and may request additional information concerning data, code, computational methods, or research integrity.

 

Submission Preparation Checklist

Before proceeding, authors must confirm that:

  • The manuscript is original and is not currently under consideration by another journal.
  • All authors have approved the submitted version and agree to its submission.
  • The manuscript falls within the scope of Scholar J Computational Science.
  • The manuscript has been prepared according to the Author Guidelines.
  • All sources used in the manuscript have been appropriately cited.
  • All authors and contributors have been correctly identified.
  • Figures, tables, datasets, software, and other third-party materials have appropriate permissions or licenses where required.
  • Any relevant funding, conflicts of interest, ethical approvals, and research declarations have been disclosed.
  • The manuscript contains sufficient methodological and computational detail for proper evaluation.
  • Where applicable, relevant data, code, software, or computational resources have been identified and their availability described.
  • The manuscript has been checked for spelling, grammar, formatting, and completeness.
  • The authors understand that the submission will undergo editorial assessment and peer review.

 

Articles

Section default policy

Research Articles

This section publishes scholarly review articles that critically synthesize, evaluate, and integrate existing research in computational science and related interdisciplinary fields. Reviews should provide a comprehensive and balanced assessment of the literature, identify important developments and knowledge gaps, and offer insights into future research directions.

Perspectives

This section publishes authoritative and forward-looking perspectives on emerging developments, important challenges, and future directions in computational science and related interdisciplinary fields. Perspectives may examine emerging computational methods, technologies, research trends, conceptual developments, and opportunities for interdisciplinary scientific discovery.

Privacy Statement

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