Computational Science is a rapidly growing multi- and interdisciplinary field. It develops mathematical and computational models and uses advanced computing techniques to simulate these models, driven by data. Its overarching goal is to understand and solve complex problems. It has reached a level of predictive and interventional capability that now firmly complements the traditional pillars of experimentation and theory.The recent advances in experimental techniques have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data-driven modeling and simulation which is no longer feasible using traditional analytical approaches alone.This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.Computational science typically unifies three distinct elements:• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).The Journal of Computational Science aims to be an international platform to exchange novel research results in simulation-based science across all scientific disciplines. It publishes advanced innovative, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices.The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.
SoftwareX aims to acknowledge the impact of software on today's research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact.To this end, SoftwareX aims to support publication of research software in such a way that:The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact;The software developers are given the credits they deserve;The software is citable, allowing traditional metrics of scientific excellence to apply;The academic career paths of software developers are supported rather than hindered;The software is publicly available for inspection, validation, and re-use.Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below:Mathematical and Physical Sciences;Environmental Sciences;Medical and Biological Sciences;Humanities, Arts and Social Sciences.Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera.SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.Domain independent underpinning software tools and technologies have for too long been underrepresented in academic literature. We wish to ensure that these software items get academic recognition and welcome submissions of software tools and services that may otherwise not have a publication home. Examples include mathematical or image processing libraries or methodologies, visualization tools, data management, etcetera.Through the quality of the description and of the (potential) impact of the software deposited we aim that significant reuse will occur both within and without the original developing domain and therefore encourage consideration of this reuse factor when submitting and in the language used within the description.Submissions to SoftwareX consist of two major parts:A short descriptive paper of 3000-word limit;An open-source software distribution with support material.The manuscript you submit must be regarded as an accompanying note for the benefit of readers and potential users of your software.Submissions are accepted only if the code/software has been made freely available. To submit please follow the Original Software Publication guidelines.For any questions contact us at: [email protected] software publications published in SoftwareX are hosted on a repository on GitHub. A copy of the 'accepted for publication' version of software/code will be copied to the journal's GitHub repository for archiving purposes. Go to the SoftwareX GitHub repository