Elsevier Launches the Journal of Computational Science

New Journal will Publish Advanced, Interdisciplinary Research on Simulation-Based Science Across all Scientific Disciplines

AMSTERDAM, May 19, 2010 - Elsevier, the world-leading publisher of scientific, technical and
medical information products and service, announced today the launch of the
Journal of Computational Science (www.elsevier.com/locate/jocs). The
journal aims to be an international platform to exchange important novel
research results in simulation-based science across all scientific
disciplines.

The Journal of Computational Science 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original, unpublished high quality contributions in the field of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.

The editorial board is led by Editor in Chief, Professor Peter M.A. Sloot
of the University of Amsterdam, NL. P.V. Coveney, University College London,
UK and J. Dongarra, University of Tennessee, USA serve as associate editors.

"The field of computational science is a rapidly advancing frontier
research area, known as the third paradigm of science next to experimentation
and theory," observed Editor in Chief Peter Sloot. "The journal provides
researchers with a single, convenient publication platform that offers top
quality papers from a broad range of advanced computing and data analysis to
understand and solve complex problems. It combines computational thinking,
modern computational methods, devices and collateral technologies to address
problems far beyond the scope of traditional numerical methods."

Rebecca Capone, journal development publisher for Elsevier commented,
"The Journal of Computational Science is an exciting opportunity for Elsevier
to provide comprehensive coverage for this ever-expanding, multidisciplinary
field. As a leading scientific and technical publisher, we are poised to
realize the potential of the journal and look forward to being at the
forefront of this rapidly emerging research area."

About Journal of Computational Science

The Journal of Computational Science (www.elsevier.com/locate/jocs
) will publish novel results in Computational Science. It aims to be an
international platform to exchange important research results in
simulation-based science across all scientific disciplines. This new Elsevier
journal will contain 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.

About Elsevier

Elsevier is a world-leading publisher of scientific, technical and
medical information products and services. The company works in partnership
with the global science and health communities to publish more than 2,000
journals, including The Lancet (www.thelancet.com) and Cell
(www.cell.com), and close to 20,000 book titles, including major
reference works from Mosby and Saunders. Elsevier's online solutions
include ScienceDirect (www.sciencedirect.com), Scopus
(www.scopus.com), Reaxys (www.reaxys.com), MD Consult
(www.mdconsult.com) and Nursing Consult
(www.nursingconsult.com), which enhance the productivity of science
and health professionals, and the SciVal suite (www.scival.com )
and MEDai's Pinpoint Review (www.medai.com), which help research and
health care institutions deliver better outcomes more cost-effectively.

A global business headquartered in Amsterdam, Elsevier (
www.elsevier.com) employs 7,000 people worldwide. The company is part
of Reed Elsevier Group PLC (www.reedelsevier.com), a world-leading
publisher and information provider, which is jointly owned by Reed Elsevier
PLC and Reed Elsevier NV. The ticker symbols are REN (Euronext Amsterdam),
REL (London Stock Exchange), RUK and ENL (New York Stock Exchange).

    Jason Awerdick
    +1-212-633-3103
    j.awerdick@elsevier.com

Jason Awerdick, +1-212-633-3103, j.awerdick at elsevier.com