多尺度模拟方法:交联聚合物矩阵

P. Komarov, D. Guseva, V. Rudyak, A. Chertovich
{"title":"多尺度模拟方法:交联聚合物矩阵","authors":"P. Komarov, D. Guseva, V. Rudyak, A. Chertovich","doi":"10.14529/JSFI180309","DOIUrl":null,"url":null,"abstract":"Atomistic molecular dynamics simulations can usually cover only a very limited range in space and time. Thus, the materials like polymer resin networks, the properties of which are formed on macroscopic scale, are hard to study thoroughly using only molecular dynamics. Our work presents a multiscale simulation methodology to overcome this shortcoming. To demonstrate its effectiveness, we conducted a study of thermal and mechanical properties of complex polymer matrices and establish a direct correspondence between simulations and experimental results. We believe this methodology can be successfully used for predictive simulations of a broad range of polymer matrices in glassy state.","PeriodicalId":338883,"journal":{"name":"Supercomput. Front. Innov.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Multiscale Simulations Approach: Crosslinked Polymer Matrices\",\"authors\":\"P. Komarov, D. Guseva, V. Rudyak, A. Chertovich\",\"doi\":\"10.14529/JSFI180309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Atomistic molecular dynamics simulations can usually cover only a very limited range in space and time. Thus, the materials like polymer resin networks, the properties of which are formed on macroscopic scale, are hard to study thoroughly using only molecular dynamics. Our work presents a multiscale simulation methodology to overcome this shortcoming. To demonstrate its effectiveness, we conducted a study of thermal and mechanical properties of complex polymer matrices and establish a direct correspondence between simulations and experimental results. We believe this methodology can be successfully used for predictive simulations of a broad range of polymer matrices in glassy state.\",\"PeriodicalId\":338883,\"journal\":{\"name\":\"Supercomput. Front. Innov.\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Supercomput. Front. Innov.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14529/JSFI180309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Supercomput. Front. Innov.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14529/JSFI180309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

原子分子动力学模拟通常只能覆盖非常有限的空间和时间范围。因此,聚合物树脂网络等材料的性质是在宏观尺度上形成的,仅用分子动力学很难对其进行深入研究。我们的工作提出了一种多尺度模拟方法来克服这一缺点。为了证明其有效性,我们对复杂聚合物基质的热性能和力学性能进行了研究,并建立了模拟和实验结果之间的直接对应关系。我们相信这种方法可以成功地用于玻璃态聚合物基质的预测模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multiscale Simulations Approach: Crosslinked Polymer Matrices
Atomistic molecular dynamics simulations can usually cover only a very limited range in space and time. Thus, the materials like polymer resin networks, the properties of which are formed on macroscopic scale, are hard to study thoroughly using only molecular dynamics. Our work presents a multiscale simulation methodology to overcome this shortcoming. To demonstrate its effectiveness, we conducted a study of thermal and mechanical properties of complex polymer matrices and establish a direct correspondence between simulations and experimental results. We believe this methodology can be successfully used for predictive simulations of a broad range of polymer matrices in glassy state.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Supercomputer-Based Modeling System for Short-Term Prediction of Urban Surface Air Quality River Routing in the INM RAS-MSU Land Surface Model: Numerical Scheme and Parallel Implementation on Hybrid Supercomputers Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation Multistage Iterative Method to Tackle Inverse Problems of Wave Tomography Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1