Statistics – Computation
Scientific paper
Jan 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008cs%26d....1a0101m&link_type=abstract
Computational Science and Discovery, Volume 1, Issue 1, pp. 010101 (2008).
Statistics
Computation
Scientific paper
It is with the greatest pleasure and with much excitement that we announce the launch of Computational Science and Discovery (CSD). When CSD was conceived, our hope was to provide a unique venue for computational science that crosses disciplines and focuses on scientific discovery through computation. We wanted to provide a venue for the publication of advancements in computational science, applied mathematics, and computer science that make such scientific discovery possible.
Our first collection of articles mirrors this vision and hope. Here we find breakthrough science achieved through computation in areas as diverse as astrophysics, fusion energy science, materials science, nuclear physics, and quantum chromodynamics. Our intention is that achievements made in one area will interest, educate, and inspire computational science teams in other areas. And while the science reported in this volume and anticipated in future volumes spans a very broad range, there are common underlying challenges all computational science teams face.
We plan to publish progress on meeting these challenges and foster communication across disciplines in order that the progress achieved in one field may benefit collaborative efforts in others. Moreover, collaborative efforts between scientists, mathematicians, and computer scientists—essential to progress in computational science—are often difficult to place according to traditional classifications and measures of progress in these fields. For example, how do we classify efforts to tune physics-based preconditioners for certain radiation transport applications on massively parallel computing platforms? And where do we place the development of effective, efficient, and automated custom scientific workflows that include data management, analysis, and visualization of large and complex simulation data in a particular scientific domain?
Within the pages of CSD, we look forward to the publication of breakthrough science and the computational methodologies on which this endeavour will always be founded, coauthored by multidisciplinary teams of scientists, mathematicians, and computer scientists. In so doing we hope to provide, in one venue, the information necessary for the corroboration of such breakthroughs, and documentation of the multidisciplinary collaborative efforts and their resultant approaches that make these advances possible.
Please join us in making this exciting new venture a success. We hope you will find CSD an ideal venue for the publication of your team's next exciting results.
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