Journal Information
Journal of Computational Science
http://www.journals.elsevier.com/journal-of-computational-science/
Impact Factor:
2.502
Publisher:
Elsevier
ISSN:
1877-7503
Viewed:
7973
Tracked:
9

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The journal welcomes original, unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.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 2019-12-04
Special Issues
Special Issue on Discrete Simulation of Fluid Dynamics: methods and applications
Submission Date: 2020-12-31

Since its inception in 1986, the Discrete Simulation of Fluid Dynamics (DSFD) series of conferences represents a premier forum for the computational study of the physics of fluids at large, from macroscopic turbulence, to microfluids all the way down to nanofluids of biological interest. A distinguishing characteristic of DSFD series of conferences is its focus on unconventional methodologies for the numerical simulation of fluids, based on the underlying microscale dynamics rather than on the discretization of partial differential equations (PDEs) of continuum fluid mechanics. Microscale and kinetic methods represent a viable solution whenever the involved physical phenomena either escape a continuum description, or prove computationally unviable by means of the continuum methods. This Special Issue aims at collecting selected contributions from the 29th International Conference on the Discrete Simulation of Fluid Dynamics (DSFD 2020). Contributions to this Special Issue will embrace a variety of themes, both theoretical and applied, pertaining to a broad spectrum of fluid phenomena across all scales of motion. Specifically, the relevant topics of this Special Issue include, but are not limited to: Lattice Boltzmann methods Discrete velocity methods Dissipative particle dynamics Smoothed-particle hydrodynamics Direct simulation Monte Carlo Molecular dynamics Relativistic hydrodynamics Multi-particle collision dynamics Hybrid methods Submission Guidelines Contributions to this Special Issue must be strictly original papers which have not been submitted or already published earlier. All manuscripts should be submitted via the journal's online submission and peer-review systems at https://www.evise.com/evise/jrnl/jocs. The submission system will be opened from 1st August 2020 until 31st December 2020. When submitting your manuscript please select the article type “SI: DSFD2020”. Please ensure you read the Guide for Authors (https://www.elsevier.com/journals/journal-of-computational-science/1877-7503/guide-for-authors) before writing your manuscript. Important Dates Submission Deadline: Dec 31, 2020 Acceptance Deadline: Jun 30, 2021 Guest Editors Prof. Giovanni Di Ilio (Managing Guest Editor), University of Naples ‘Parthenope’ email: giovanni.diilio@uniparthenope.it Prof. Giacomo Falcucci, University of Rome ‘Tor Vergata’ email: giacomo.falcucci@uniroma2.it Prof. Daniele Chiappini, University of Rome ‘Niccolò Cusano’ email: daniele.chiappini@unicusano.it Prof. Sauro Succi, Center for Life Nano Science at La Sapienza, Istituto Italiano di Tecnologia email: sauro.succi@iit.it
Last updated by Dou Sun in 2020-04-15
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