计算统计力学在法国的起源

IF 0.8 4区物理与天体物理 Q2 HISTORY & PHILOSOPHY OF SCIENCE The European Physical Journal H Pub Date : 2018-10-17 DOI:10.1140/epjh/e2018-90041-y

D. Levesque, J. P. Hansen

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引用次数: 8

摘要

计算统计力学的两种主要方法，即随机蒙特卡罗方法和确定性分子动力学方法，是20世纪50年代中期在美国发展起来的。在本文中，我们展示了这些“计算机实验”是如何在60年代迁移到欧洲的，并首先在奥赛科学学院开花结果，然后传播到整个欧洲。指出了由Loup Verlet领导的Orsay集团与美国和欧洲的先锋团体之间的合作。最后，它显示了如何著名的Verlet算法的积分的经典运动方程可以追溯到艾萨克·牛顿。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The origin of computational statistical mechanics in France

The two main methodologies of computational Statistical Mechanics, namely the stochastic Monte Carlo and the deterministic Molecular Dynamic methods, were developed in the USA in the mid 1950’s. In the present paper we show how these “computer experiments” migrated to Europe in the 60s, and first bloomed at the Orsay Science Faculty, before spreading throughout Europe. Collaborations between the Orsay group, led by Loup Verlet, and pioneering groups in the USA and Europe are pointed out. Finally it is shown how the celebrated Verlet algorithm for the integration of classical equations of motion can be traced back to Isaac Newton.

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来源期刊

The European Physical Journal H HISTORY & PHILOSOPHY OF SCIENCE-PHYSICS, MULTIDISCIPLINARY

CiteScore

1.60

自引率

10.00%

发文量

审稿时长

>12 weeks

期刊介绍： The purpose of this journal is to catalyse, foster, and disseminate an awareness and understanding of the historical development of ideas in contemporary physics, and more generally, ideas about how Nature works. The scope explicitly includes: - Contributions addressing the history of physics and of physical ideas and concepts, the interplay of physics and mathematics as well as the natural sciences, and the history and philosophy of sciences, together with discussions of experimental ideas and designs - inasmuch as they clearly relate, and preferably add, to the understanding of modern physics. - Annotated and/or contextual translations of relevant foreign-language texts. - Careful characterisations of old and/or abandoned ideas including past mistakes and false leads, thereby helping working physicists to assess how compelling contemporary ideas may turn out to be in future, i.e. with hindsight.