...
首页> 外文期刊>Bulletin of the American Physical Society >APS -APS March Meeting 2017 - Event - Structural refinement of vitreous silica bilayers
【24h】

APS -APS March Meeting 2017 - Event - Structural refinement of vitreous silica bilayers

机译:APS -APS 2017年3月会议-活动-玻璃二氧化硅双层的结构改进

获取原文
   

获取外文期刊封面封底 >>

       

摘要

The importance of glasses resides not only in their applications but in fundamental questions that they put forth. The continuous random network model can successfully describe the glass structure, but determining details, like ring statistics, has always been difficult using only diffraction data. But recent atomic images of 2D vitreous silica bilayers can offer valuable new insights which are hard to be observed directly in 3D silica models/experiments [for references see (1)].However, the experimental results are prone to uncertainty in atomic positions, systematic errors, and being finite. We employ special boundary conditions developed for such networks to refine the experimental structures. We show the best structure can be found by using various potentials to maximize information gained from the experimental samples. We find a range of densities, the so-called flexibility window, in which tetrahedra are perfect. We compare results from simulations using harmonic potentials, MD with atomic polarizabilities included and DFT.(1) Mark Wilson, Avishek Kumar, David Sherrington and M.F. Thorpe, Modeling vitreous silica bilayers, Phys. Rev. B 87, 214108, pages 1-9 (2013)
机译:眼镜的重要性不仅在于其应用,还在于它们提出的基本问题。连续随机网络模型可以成功地描述玻璃结构,但是仅使用衍射数据来确定细节(例如环统计)一直很困难。但是,最近的二维玻璃化二氧化硅双层原子图像可以提供有价值的新见解,这些见解很难在3D二氧化硅模型/实验中直接观察到[供参考,请参见(1)]。但是,实验结果倾向于原子位置不确定,系统错误,并且是有限的。我们采用针对此类网络开发的特殊边界条件来完善实验结构。我们显示可以通过使用各种电位来最大化从实验样品中获得的信息来找到最佳结构。我们找到了一系列密度,即所谓的柔韧性窗,其中四面体是完美的。我们比较了使用谐波势,包含原子极化率的MD和DFT的仿真结果。(1)马克·威尔逊(Mark Wilson),阿维舍克·库马尔(Avishek Kumar),戴维·谢灵顿(David Sherrington)和M.F.索普(Thorpe),玻璃化二氧化硅双层建模,物理版本B 87,214108,第1-9页(2013)

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号