JOURNAL OF COMPUTATIONAL PHYSICS SCISCIE

中文简介

《计算物理学报》拥有开放获取的镜像期刊《计算物理学报:X》，目标和范围相同，编辑团队、投稿系统和严格的同行评审。《计算物理学杂志》侧重于物理问题的计算方面。JCP鼓励原创的科学贡献先进的数学和数值模拟反射的组合概念,方法和原则通常跨学科性质和跨几个地区的物理、力学、应用数学、统计数据,应用几何、计算机科学、化学和其他科学学科:《华尔街日报》的编辑们试图强调交叉学科界限的方法。计算物理杂志也发表4页或更少的短文(包括图表、表格和参考文献，但不包括标题页)。也会考虑给编辑写信，对已经发表在本杂志上的文章作出评论。笔记和信件都不应该有摘要。特别鼓励对特定领域进行调查的评论文章。全文建议长度为35页。为了估计页面限制，请使用我们的模板。欢迎发表会议论文，前提是提交的稿件是对会议论文的重大改进，并有大量补充。再现性，即再现他人所得结果的能力，是科学方法的核心原则。随着计算科学和工程带来的知识发现和知识发现的影响不断增加，重现性成为这些活动的自然组成部分是势在必行的。该杂志强烈鼓励作者提供所有软件或数据，使已发表的结果得以复制，并尽一切努力在手稿中包括足够的信息，以实现这一点。这不仅应该包括用于设置的信息，还应该包括用于恢复已发布结果的后处理的详细信息。

投稿网址：http://ees.elsevier.com/jcomp/

英文简介

Journal of Computational Physics has an open access mirror journal Journal of Computational Physics: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.The Journal of Computational Physics focuses on the computational aspects of physical problems. JCP encourages original scientific contributions in advanced mathematical and numerical modeling reflecting a combination of concepts, methods and principles which are often interdisciplinary in nature and span several areas of physics, mechanics, applied mathematics, statistics, applied geometry, computer science, chemistry and other scientific disciplines as well: the Journal's editors seek to emphasize methods that cross disciplinary boundaries.The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract. Review articles providing a survey of particular fields are particularly encouraged. Full text articles have a recommended length of 35 pages. In order to estimate the page limit, please use our template.Published conference papers are welcome provided the submitted manuscript is a significant enhancement of the conference paper with substantial additions.Reproducibility, that is the ability to reproduce results obtained by others, is a core principle of the scientific method. As the impact of and knowledge discovery enabled by computational science and engineering continues to increase, it is imperative that reproducibility becomes a natural part of these activities. The journal strongly encourages authors to make available all software or data that would allow published results to be reproduced and that every effort is made to include sufficient information in manuscripts to enable this. This should not only include information used for setup but also details on post-processing to recover published results.