权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

CCP5 Flagship DL_MONTE: Monte Carlo Simulation of Condensed Phases

CCP5 旗舰 DL_MONTE：凝聚相的蒙特卡罗模拟

基本信息

批准号：
EP/M011291/1
负责人：
Nigel Wilding
金额：
$ 92.46万
依托单位：
University of Bath
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2015
资助国家：
英国
起止时间：
2015 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FM011291%2F1
关键词：
CCP5 Flagship DL_MONTE Monte Carlo

项目摘要

Computer simulation is the "third way" in science, complementing the traditional disciplines of theory and experiment. It allow one to do experiments on a computer - a kind of virtual reality in which one can study everything from subatomic particles to galaxy formation. There are several approaches to computer simulation. An important one is Monte Carlo (MC) simulation. This uses computer generated random numbers to mimic the effects of thermal fluctuations encountered in liquid and solid materials such as are commonly studied in Chemistry, Physics and Chemical Enginnering. In recent years great effort has been dedicated to developing ever more sophisticated MC algorithms which allow one to study more and more complex materials and phenomena. However these algorithms are thermselves becoming so complex that they can't be easily implemented separately by individual research groups. Indeed to do so would be a wasteful reproduction of effort. There is thus a need for algorithmic experts to write software which can be easily shared with other researchers. This software will need to be carefully constructed, efficient, portable, well documented and well supported. The main aim of this proposal is to meet this need. It will involve a team of experts experienced in design, implementation and application of Monte Carlo algorithms constructing a general purpose suite of software which will be readily available to users in academia and industry, and supported by appropriate training.

计算机模拟是科学中的“第三条道路”，是对传统理论和实验学科的补充。它允许人们在计算机上做实验--一种虚拟现实，人们可以在其中研究从亚原子粒子到星系形成的一切。计算机模拟有几种方法。其中一个重要的方法是蒙特卡罗（MC）模拟。这使用计算机生成的随机数来模拟液体和固体材料中遇到的热波动的影响，例如化学，物理学和化学工程中通常研究的。近年来，人们一直致力于开发越来越复杂的MC算法，使人们能够研究越来越复杂的材料和现象。然而，这些算法本身变得如此复杂，以至于它们不能被单独的研究小组轻易地单独实现。事实上，这样做将是一种浪费的努力。因此，需要算法专家编写可以与其他研究人员轻松共享的软件。这一软件需要精心构建、高效、便携、有良好的记录和良好的支持。这项建议的主要目的是满足这一需要。它将涉及一个在设计、执行和应用蒙特卡罗算法方面经验丰富的专家小组，以建立一套通用软件，供学术界和工业界的用户随时使用，并得到适当培训的支持。