Effect of Li2O on the structure and properties of low‐boron aluminosilicate fiber glasses from molecular dynamics simulations and quantitative structure–property relationship analysis

材料科学 硅酸铝 氧化硼 中子衍射 热膨胀 分子动力学 逆向蒙特卡罗 氧化物 复合材料 化学物理 结晶学 化学 计算化学 晶体结构 有机化学 催化作用 冶金
作者
Wenqing Xie,Hong Li,Daniel R. Neuville,Jincheng Du
出处
期刊:Journal of the American Ceramic Society [Wiley]
被引量:1
标识
DOI:10.1111/jace.20001
摘要

Abstract Mixed alkaline earth (MgO, CaO) aluminosilicate glass fibers (MCAS) with and without boron are commonly used as reinforcements in plastic composites, and the fundamental understanding of the thermal and mechanical properties is essential to the design of new glass compositions to satisfy the growing demands in applications from renewable energy to lightweight structural components. In this work, a series of Li 2 O containing low‐boron MCAS fiber glasses have been studied by using molecular dynamic (MD) simulations with recently developed effective partial charge composition dependent boron potentials. Structural characteristics, such as pair distribution function, bond angle distribution, and neutron/X‐ray diffraction structure factors, were calculated, as well as properties such as elastic moduli and vibrational density of states. The addition of Li 2 O was found to improve the elastic moduli of the fiber glasses in excellent agreement with experimental results we reported earlier. The simulation results showed that the weakened network connectivity and decrease of tri‐/bridging oxygen have positively affected the lowering of liquid temperature, owing to the transformation to more boron Q 2 and silicon/aluminon Q 3 . It is found that higher oxygen packing density, coordinated aluminum/boron species such as [AlO 5 ] and [BO 4 ] units, larger‐membered oxide rings, and intensified connections of [AlO x ] and [SiO 4 ] are the main reasons that lead to improved mechanical properties. MD‐based quantitative structure–property relationship analyses were performed and showed excellent correlations to measured properties, indicating that it is a promising approach to understand glass properties and design new glass compositions for functional applications.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
kevin完成签到,获得积分10
4秒前
青山发布了新的文献求助10
5秒前
善学以致用应助luna采纳,获得10
5秒前
6秒前
小凯完成签到,获得积分10
6秒前
8秒前
小李子发布了新的文献求助10
10秒前
等待戈多发布了新的文献求助10
10秒前
Starry完成签到,获得积分10
11秒前
12秒前
orixero应助青山采纳,获得10
13秒前
爱吃菠萝发布了新的文献求助10
14秒前
16秒前
小李子完成签到,获得积分10
16秒前
上善若水完成签到,获得积分20
17秒前
18秒前
上善若水发布了新的文献求助10
21秒前
许愿非树完成签到,获得积分10
22秒前
23秒前
23秒前
wanci应助ZWF123采纳,获得10
23秒前
CHSLN完成签到 ,获得积分10
24秒前
Czision应助大意的傲霜采纳,获得10
24秒前
Akim应助上善若水采纳,获得10
26秒前
浅浅发布了新的文献求助10
28秒前
jnshen完成签到 ,获得积分10
29秒前
科研发布了新的文献求助10
30秒前
31秒前
32秒前
星辞发布了新的文献求助10
32秒前
32秒前
34秒前
hanjian完成签到,获得积分10
34秒前
含蓄怀蕊发布了新的文献求助10
34秒前
36秒前
小男孩发布了新的文献求助10
38秒前
42秒前
123yaoyao发布了新的文献求助10
42秒前
我爱科研789完成签到,获得积分10
46秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357297
求助须知:如何正确求助?哪些是违规求助? 8171997
关于积分的说明 17206526
捐赠科研通 5412966
什么是DOI,文献DOI怎么找? 2864858
邀请新用户注册赠送积分活动 1842270
关于科研通互助平台的介绍 1690520