Journal Information
Journal of Computational Science
Impact Factor:

Call For Papers
Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory.

The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging 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.

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The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.
Last updated by Dou Sun in 2018-09-23
Special Issues
Special Issue on Best practices in modeling and simulation of biological systems
Submission Date: 2019-11-30

The multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system. In this context, given the high-throughput nature of current biological data, computational models play a vital role to better and holistically understand biological processes. Furthermore, to deal with the large and heterogenous number of computational tools already developed to support the multi-step processing pipeline and the multi-scale nature of biological complexity, standardized formats are required to improve tools cooperation and minimize data-translation errors. In this Special Issue we welcome unpublished work pertaining to Systems Biology, Systems Medicine, and, in particular, to their underlying modeling formalisms and simulation software. We aim at the concept of "Software supporting Life Scientists", which eventually results in the transition of research-oriented simulation software into the domain of Systems Biology and Systems Medicine. This special issue seeks to provide an opportunity for researchers to present their original contributions on the problem of modeling complex biological systems. The special issue topics include (but are not limited to) the following: Multilevel, multiscale, and qualitative modeling Analysis of metabolic, protein-protein interaction, regulatory, and signaling networks Network analysis: topology, network structure analysis and prediction, dynamic pathway modeling Kinetic modeling: Pharmacodynamics and Pharmacometrics, Quantitative and systems pharmacology; Quantitative analysis techniques: discrete, stochastic, fuzzy, and constraint-based modeling Modeling languages Software design
Last updated by Dou Sun in 2019-08-24
Special Issue on Simulation and Performance Evaluation of Communications in Distributed Systems
Submission Date: 2019-12-01

Distributed systems including newly emergent Web based systems are getting increasingly complex as well as widely required. Implementing them becomes a challenging issue since it needs sophisticated techniques, which integrate both distributed processes and information exchanges using various communication modes and fault-prone mediums. Moreover, they are often deployed over parallel and resource constrained platforms ranging from Internet to mobile, ad hoc networks, or even sensor networks. These systems being extensively complex, their analysis and performance evaluation play a crucial role in the design process to ensure their correct deployment and efficient operation. It is then important to develop and use effective performance evaluation tools and methods in their design. As a result, performance modeling and evaluation continue to gain increasing importance. However, guaranteeing QoS and provisioning of correct systems are still a challenging problem. For instance, though new methods and tools are proposed to address such issues (e.g., Stochastic Automata Networks, PEPA...) quantitative analysis remains an intractable issue due to state space explosion. Accordingly, this special issue focuses on newly efficient techniques of simulation and performance evaluation of distributed and mobile systems as well as Web services architectures using both analytical methods and simulation studies. Authors are encouraged to submit full papers presenting new research related to QoS and communication performance evaluation of these systems. Topics of interest include, but are not limited to: Communication performance evaluation of distributed and mobile systems Performance evaluation of distributed and web-based systems Tools and software for performance evaluation Simulation, modeling, analysis and measurements techniques Quantitative analysis Stochastic comparisons Network Protocols design for Web service devices Routing optimization Bandwidth management
Last updated by Dou Sun in 2019-04-21
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