• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用蒙特卡罗方法对非晶硅系统中的结构和孔隙率进行建模。

Modeling of structure and porosity in amorphous silicon systems using Monte Carlo methods.

作者信息

Opletal G, Petersen T C, Snook I K, McCulloch D G

机构信息

Applied Physics, School of Applied Sciences, RMIT University, G.P.O. Box 2476V, Melbourne 3001, Australia.

出版信息

J Chem Phys. 2007 Jun 7;126(21):214705. doi: 10.1063/1.2743029.

DOI:10.1063/1.2743029
PMID:17567211
Abstract

Porous solids are very important from a scientific point of view as they provide a medium in which to study the behavior of confined fluids. Although some porous solids have a well defined pore geometry such as zeolites, many porous solids lack crystalline order and are usually described as amorphous. The description of the pore geometry in such structures is very difficult. The authors develop a modeling approach using a Monte Carlo algorithm to simulate porosity within amorphous systems based on constraints for the internal volume and surface area. To illustrate this approach, a model of microporous amorphous silicon is presented. Structural aspects of the porous model are then compared against hybrid reverse Monte Carlo simulations of nonporous amorphous silicon and published results from the literature. It is found that coordination defects are predominately located at the pore surface walls.

摘要

从科学的角度来看,多孔固体非常重要,因为它们提供了一个研究受限流体行为的介质。尽管一些多孔固体具有明确的孔隙几何结构,如沸石,但许多多孔固体缺乏晶体有序性,通常被描述为无定形。在这种结构中描述孔隙几何结构非常困难。作者开发了一种建模方法,使用蒙特卡罗算法,基于内部体积和表面积的约束来模拟无定形系统中的孔隙率。为了说明这种方法,给出了一个微孔无定形硅的模型。然后将多孔模型的结构方面与无孔无定形硅的混合反向蒙特卡罗模拟以及文献中公布的结果进行比较。结果发现,配位缺陷主要位于孔表面壁上。

相似文献

1
Modeling of structure and porosity in amorphous silicon systems using Monte Carlo methods.使用蒙特卡罗方法对非晶硅系统中的结构和孔隙率进行建模。
J Chem Phys. 2007 Jun 7;126(21):214705. doi: 10.1063/1.2743029.
2
Modeling of the Internal Structure of Randomly Formed Microporous Material of Unlimited Volume, Following Thermodynamic Limitations.遵循热力学限制条件的无限体积随机形成微孔材料内部结构建模
J Colloid Interface Sci. 2000 Jul 15;227(2):525-530. doi: 10.1006/jcis.2000.6890.
3
Monte-Carlo multiscale simulation study of argon adsorption/desorption hysteresis in mesoporous heterogeneous tubular pores like MCM-41 or oxidized porous silicon.蒙特卡罗多尺度模拟研究介孔异质管状孔(如MCM-41或氧化多孔硅)中氩气吸附/解吸滞后现象。
Langmuir. 2009 Jan 20;25(2):903-11. doi: 10.1021/la802474c.
4
Monte Carlo optimization scheme to determine the physical properties of porous and nonporous solids.蒙特卡罗优化方案,用于确定多孔和无孔固体的物理性质。
Langmuir. 2010 Oct 5;26(19):15278-88. doi: 10.1021/la102017t.
5
Molecular modeling of porous carbons using the hybrid reverse Monte Carlo method.使用混合反向蒙特卡罗方法对多孔碳进行分子建模。
Langmuir. 2006 Nov 21;22(24):9942-8. doi: 10.1021/la053402z.
6
A new method to determine pore size and its volume distribution of porous solids having known atomistic configuration.一种用于确定具有已知原子构型的多孔固体的孔径及其体积分布的新方法。
J Colloid Interface Sci. 2008 Dec 1;328(1):110-9. doi: 10.1016/j.jcis.2008.08.060. Epub 2008 Sep 5.
7
A mesoporous germanium oxide with crystalline pore walls and its chiral derivative.一种具有晶体孔壁的介孔氧化锗及其手性衍生物。
Nature. 2005 Sep 29;437(7059):716-9. doi: 10.1038/nature04097.
8
Structure and transport properties of nanostructured materials.纳米结构材料的结构与输运性质
J Phys Chem B. 2005 Mar 31;109(12):5691-9. doi: 10.1021/jp044775w.
9
Evaluation of methods for determining the pore size distribution and pore-network connectivity of porous carbons.评估测定多孔碳孔径分布和孔网络连通性的方法。
Langmuir. 2007 Jul 31;23(16):8430-40. doi: 10.1021/la7007057. Epub 2007 Jun 29.
10
Absolute assessment of adsorption-based porous solid characterization methods: comparison methods.基于吸附的多孔固体表征方法的绝对评估:比较方法。
Langmuir. 2004 Aug 17;20(17):7123-38. doi: 10.1021/la036435s.

引用本文的文献

1
Relationship between diffraction peak, network topology, and amorphous-forming ability in silicon and silica.硅和二氧化硅中衍射峰、网络拓扑结构与非晶形成能力之间的关系。
Sci Rep. 2021 Nov 12;11(1):22180. doi: 10.1038/s41598-021-00965-5.
2
Leveraging Hierarchical Self-Assembly Pathways for Realizing Colloidal Photonic Crystals.利用分层自组装途径实现胶体光子晶体
ACS Nano. 2020 May 26;14(5):5348-5359. doi: 10.1021/acsnano.9b07849. Epub 2020 May 6.