Aims (old version):

Computation (ISSN 2079-3197) is a computational science and engineering journal. It publishes reviews, regular research papers, and communications, with no restriction on the maximum length of these papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles. There are, in addition, unique features to this journal:

• Manuscripts regarding research proposals and research ideas are particularly welcome;
• Computed data or files regarding the full details of an experimental procedure, if unable to be published within an article, can be included as supplementary material;
• We believe that manuscripts that are summaries and surveys of cooperative research and projects (that are founded by national governments or others) provide information for a broad field of users.

Scope (old version):

• Computational biology, including, but not limited to:
• Bioinformatics;
• The mathematical modeling, simulation, and prediction of nucleic acid (DNA/RNA) and protein sequences, structures, and functions;
• The mathematical modeling of pathways and genetic interactions;
• Neuroscience computation including neural modeling, brain theory, and neural networks.
• Computational chemistry, including, but not limited to:
• New theories and methodology, including their applications in molecular dynamics;
• The computation of electronic structure;
• Density functional theory;
• The design and characterization of materials using computational methods.
• Computation in engineering, including, but not limited to:
• New theories, methodologies, and the application of computational fluid dynamics (CFD);
• Optimization techniques and/or the application of optimization to multidisciplinary systems;
• System identification and the reduced order modeling of engineering systems;
• Parallel algorithms and high-performance computing in engineering.

Aims (new version):

Computation (ISSN: 2079-3197) is an international open access journal about computational science and engineering. It focuses on publishing regular research papers and reviews.

The aim of Computation is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. There is no restriction on the maximum length of our papers. Full experimental details should be provided so that the results can be reproduced.

There are, in addition, unique features to this journal:

• manuscripts regarding research proposals and research ideas will be particularly welcomed;
• computed data or files regarding the full details of the experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material;
• manuscripts concerning summaries and surveys on research cooperation and projects (that are founded by national governments or others) provide information for a broad field of users.

Scope (new version):

This journal’s topics of interest include, but are not limited to, the following:

• Computational biology:
• Bioinformatics;
• The mathematical modeling, simulation, and prediction of nucleic acid (DNA/RNA) and protein sequences, structure, and functions;
• The mathematical modeling of pathways and genetic interactions;
• Neuroscience computations, including neural modeling, brain theory, and neural networks.
• Computational chemistry:
• New theories and methodologies, including their applications in molecular dynamics;
• The computation of electronic structures;
• Density functional theory;
• The design and characterization of materials using computational methods.
• Computational engineering:
• New theories, methodologies, and the application of computational fluid dynamics (CFD);
• Optimization techniques and/or the application of optimization to multidisciplinary systems;
• System identification and the reduced order modeling of engineering systems;
• Parallel algorithms and high-performance computing in engineering.
• Computational social science:
• Computational methods used in economic modeling and risk management;
• The computational modeling and simulation of epidemic infectious diseases;
• Theoretical and applied research on sociological models;
• Natural language processing (NLP) and computational linguistics;
• Computational intelligence in business;
• Computational methods in management analytics.