Large-scale, long-time molecular dynamics simulation of crystal growth: From close-packing to clathrates and quasicrystals
晶体生长的大规模、长时间的分子动力学模拟:从密堆积到包合物和准晶体
基本信息
- 批准号:1515306
- 负责人:
- 金额:$ 1.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-08-01 至 2017-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
How crystals form from liquids is important in fields ranging from biology, medicine, and food to the synthesis of materials with desired properties. Yet little is understood about how crystals form in a way that would allow one to predictably control and optimize crystal growth to obtain structures with targeted properties. For example, complex crystals known as clathrates are important for hydrocarbon extraction and storage, and can cause blockage of oil and natural gas pipelines. Another complex crystal structure, called a quasicrystal, is predicted to have unique optical properties important for telecommunications and novel coatings. This project will use fast computers based on graphics processors to study how crystals form in clathrates, quasicrystals, and related crystal structures. Such simulations are challenging because large system sizes and long time scales must be achieved simultaneously, and thus very large computing resources such as those offered by Blue Waters are required. For the first time, the invetigators expect to obtain data on crystallization that will complement - and surpass - what can be obtained by experiments, enabling a detailed atomistic view of how crystallization occurs, and whether the process is different for different types of crystals.Classical theories hypothesize that crystals grow from liquids atom-by-atom, layer-by-layer. How, then, can one explain the formation of crystals with dozens, hundreds, even thousands of atoms in a unit cell or aperiodic solids with no unit cell? The investigators will conduct large-scale, long-run-time molecular dynamics computer simulations of crystal growth to investigate the relationship between crystal complexity and the growth mechanism. The planned simulations will neither approach the largest molecular dynamics simulations nor the longest molecular dynamics simulations, but the combination of large system size and long run-time (time steps times number of atoms = 10^16) requires a petascale resource of the leading-edge capability that Blue Water represents. Preliminary estimates suggest that the project might achieve or surpass the dynamical range of experimental scattering data for the first time. The computer simulations will mimic standard experimental crystal growth protocols (Czochralski and Bridgman-Stockbarger) as closely as possible. The investigators will employ a computationally inexpensive atomistic model that they recently developed for the study of icosahedral quasicrystals, clathrates, and other crystal structures (Nature Materials 14, 109 (2015)). The model is similar to a united-atom force field model. The project will use HOOMD-Blue for the entirety of the planned studies, an open source, publicly available code that the investigators develop for the community, and which has been already ported to and optimized for Blue Waters. HOOMD-Blue is currently the fastest available simulation code for carrying out the proposed studies. With the acquired simulation data the project will investigate the role of unit cell symmetry on crystal growth and relate the Wulff shape to the space group symmetry of the dominant clathrate type. Furthermore, the team will conduct a phason strain analysis of the icosahedral quasicrystal and will compare the diffraction patterns of the grown crystals with experimental data.
从生物、医药和食品到合成具有所需性能的材料,晶体是如何从液体中形成的,这在许多领域都很重要。然而,对于晶体是如何形成的,人们却知之甚少,这种方式将使人们能够可预测地控制和优化晶体生长,以获得具有目标性质的结构。例如,被称为笼状化合物的复杂晶体对碳氢化合物的提取和储存非常重要,可能会导致石油和天然气管道堵塞。另一种复杂的晶体结构,称为准晶,预计将具有独特的光学性质,对电信和新型涂层非常重要。这个项目将使用基于图形处理器的快速计算机来研究晶体是如何在笼状、准晶和相关的晶体结构中形成的。这样的模拟具有挑战性,因为必须同时实现大系统规模和长时间尺度,因此需要非常大的计算资源,如Blue Waters提供的计算资源。研究人员首次希望获得关于结晶的数据,这些数据将补充并超过通过实验获得的数据,从而能够详细地从原子学角度了解结晶是如何发生的,以及不同类型的晶体的过程是否不同。经典理论假设晶体是从液体原子逐层生长而来的。那么,如何解释在一个晶胞中含有几十个、数百个甚至数千个原子的晶体或没有晶胞的非周期固体的形成呢?研究人员将对晶体生长进行大规模、长时间的分子动力学计算机模拟,以研究晶体复杂性与生长机制之间的关系。计划中的模拟既不会接近最大的分子动力学模拟,也不会接近最长的分子动力学模拟,但大型系统规模和长运行时间(时间步数乘以原子数量=10^16)的组合需要具有Blue Water所代表的尖端能力的千万亿级资源。初步估计,该项目可能首次达到或超过实验散射数据的动态范围。计算机模拟将尽可能接近地模拟标准的实验晶体生长方案(提拉法和布里奇曼-斯托克巴格法)。研究人员将使用他们最近开发的用于研究二十面体准晶、笼状晶体和其他晶体结构的计算廉价的原子模型(自然材料14,109(2015))。该模型类似于联合原子力场模型。该项目将在整个计划的研究中使用HOOMD-Blue,这是一个开源的、公开可用的代码,由调查人员为社区开发,已经移植到Blue Waters并针对其进行了优化。HOOMD-Blue是目前进行拟议研究的最快的可用模拟代码。利用获得的模拟数据,该项目将研究晶胞对称性在晶体生长中的作用,并将武尔夫形状与主要笼状结构的空间群对称性联系起来。此外,该团队将对二十面体准晶进行相子应变分析,并将生长晶体的衍射图与实验数据进行比较。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Strong scaling of general-purpose molecular dynamics simulations on GPUs
- DOI:10.1016/j.cpc.2015.02.028
- 发表时间:2015-07-01
- 期刊:
- 影响因子:6.3
- 作者:Glaser, Jens;Trung Dac Nguyen;Glotzer, Sharon C.
- 通讯作者:Glotzer, Sharon C.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Sharon Glotzer其他文献
Sharon Glotzer的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Sharon Glotzer', 18)}}的其他基金
CDS&E: MPATHS - Microscopic Pathway Analysis Toolkit for High-throughput Studies
CDS
- 批准号:
2302470 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Continuing Grant
CDS&E: Fast, Scalable GPU-Enabled Software for Predictive Materials Design
CDS
- 批准号:
1808342 - 财政年份:2019
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
Collaborative Research: NSCI Framework: Software for Building a Community-Based Molecular Modeling Capability Around the Molecular Simulation Design Framework (MoSDeF)
合作研究:NSCI 框架:围绕分子模拟设计框架 (MoSDeF) 构建基于社区的分子建模能力的软件
- 批准号:
1835612 - 财政年份:2018
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
CDS&E: Fast, scalable GPU-enabled software for predictive materials design & discovery
CDS
- 批准号:
1409620 - 财政年份:2014
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
Request for Participant Support for Fourth Triannual Conference on Foundations of Molecular Modeling and Simulation (FOMMS 2009); Washington State; July 12-16, 2009
请求参加者支持第四届分子建模与模拟基础三年一度会议(FOMMS 2009);
- 批准号:
0849145 - 财政年份:2009
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
Collaborative Research: Cyberinfrastructure for Phase-Space Mapping -- Free Energy, Phase Equilibria and Transition Paths
合作研究:相空间映射的网络基础设施——自由能、相平衡和过渡路径
- 批准号:
0624807 - 财政年份:2006
- 资助金额:
$ 1.48万 - 项目类别:
Continuing Grant
Acquisition of a Beowulf Cluster for Computational Materials Research, Education and Student Training
收购 Beowulf 集群用于计算材料研究、教育和学生培训
- 批准号:
0315603 - 财政年份:2003
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
NER: Simulation Strategies for Biomolecular Assembly of Nanoscale Building Blocks
NER:纳米级构件的生物分子组装模拟策略
- 批准号:
0210551 - 财政年份:2002
- 资助金额:
$ 1.48万 - 项目类别:
Standard Grant
相似国自然基金
基于热量传递的传统固态发酵过程缩小(Scale-down)机理及调控
- 批准号:22108101
- 批准年份:2021
- 资助金额:30 万元
- 项目类别:青年科学基金项目
基于Multi-Scale模型的轴流血泵瞬变流及空化机理研究
- 批准号:31600794
- 批准年份:2016
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
- 批准号:61672236
- 批准年份:2016
- 资助金额:64.0 万元
- 项目类别:面上项目
城镇居民亚健康状态的评价方法学及健康管理模式研究
- 批准号:81172775
- 批准年份:2011
- 资助金额:14.0 万元
- 项目类别:面上项目
嵌段共聚物多级自组装的多尺度模拟
- 批准号:20974040
- 批准年份:2009
- 资助金额:33.0 万元
- 项目类别:面上项目
宇宙暗成分物理研究
- 批准号:10675062
- 批准年份:2006
- 资助金额:26.0 万元
- 项目类别:面上项目
针对Scale-Free网络的紧凑路由研究
- 批准号:60673168
- 批准年份:2006
- 资助金额:25.0 万元
- 项目类别:面上项目
语义Web的无尺度网络模型及高性能语义搜索算法研究
- 批准号:60503018
- 批准年份:2005
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
超声防垢阻垢机理的动态力学分析
- 批准号:10574086
- 批准年份:2005
- 资助金额:35.0 万元
- 项目类别:面上项目
探讨复杂动力网络的同步能力和鲁棒性
- 批准号:60304017
- 批准年份:2003
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
相似海外基金
Trustworthy decentralized AI for large-scale IoT representation learning
用于大规模物联网表征学习的值得信赖的去中心化人工智能
- 批准号:
22KJ0878 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Grant-in-Aid for JSPS Fellows
Healthcare use among older adults with dementia after large-scale disasters
大规模灾难后患有痴呆症的老年人的医疗保健使用情况
- 批准号:
10591812 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Research on fire suppression measures for long-term and large-scale fires in huge logistics warehouses and highly wood using buildings
大型物流仓库及高木材使用建筑长期大面积火灾的灭火措施研究
- 批准号:
23K04153 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Large-scale and long-term storage of Hydrogen in underground reservoirs
地下水库大规模长期储存氢气
- 批准号:
DP220101952 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Discovery Projects
Large-scale cross-ancestry multi-omics study to elucidate the pathogenesis of COVID-19 severity and Long COVID
大规模跨血统多组学研究阐明 COVID-19 严重程度和长 COVID 的发病机制
- 批准号:
23H02917 - 财政年份:2023
- 资助金额:
$ 1.48万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
LTLS Freshwater Ecosystems ("LTLS-FE"): Analysis and future scenarios of Long-Term and Large-Scale freshwater quality and impacts
LTLS 淡水生态系统(“LTLS-FE”):长期和大规模淡水质量和影响的分析和未来情景
- 批准号:
NE/X015688/1 - 财政年份:2022
- 资助金额:
$ 1.48万 - 项目类别:
Research Grant
Large-scale harmonization and integration of multi-modal ADNI data for the early detection of Alzheimer's disease and related dementias
大规模协调和整合多模式 ADNI 数据,以早期发现阿尔茨海默病和相关痴呆症
- 批准号:
10659223 - 财政年份:2022
- 资助金额:
$ 1.48万 - 项目类别:
LTLS Freshwater Ecosystems ("LTLS-FE"): Analysis and future scenarios of Long-Term and Large-Scale freshwater quality and impacts
LTLS 淡水生态系统(“LTLS-FE”):长期和大规模淡水质量和影响的分析和未来情景
- 批准号:
NE/X015718/1 - 财政年份:2022
- 资助金额:
$ 1.48万 - 项目类别:
Research Grant
LTLS Freshwater Ecosystems ("LTLS-FE"): Analysis and future scenarios of Long-Term and Large-Scale freshwater quality and impacts
LTLS 淡水生态系统(“LTLS-FE”):长期和大规模淡水质量和影响的分析和未来情景
- 批准号:
NE/X015866/1 - 财政年份:2022
- 资助金额:
$ 1.48万 - 项目类别:
Research Grant
Commercialization of integrated electrode-electronics system for large scale, long-lasting electrophysiology
用于大规模、持久电生理学的集成电极电子系统的商业化
- 批准号:
10651898 - 财政年份:2022
- 资助金额:
$ 1.48万 - 项目类别:














{{item.name}}会员




