Elaboration of entropy with glass composition: A molecular dynamics study

材料科学 精化 分子动力学 作文(语言) 热力学 计算化学 人文学科 语言学 物理 哲学 化学
作者
Z. Mollaei,Farzad Kermani,Fatemeh Moosavi,Mohsen Kahani,Sahar Mollazadeh Beidokhti,Jalil Vahdati Khaki
出处
期刊:Materials today communications [Elsevier]
卷期号:33: 104340-104340 被引量:5
标识
DOI:10.1016/j.mtcomm.2022.104340
摘要

Recently, entropy was proposed as a simple input into glass science and engineering, which has an interesting relationship with the glass properties containing glass transition temperature (T g ), melting point, and concentration of non-bridging oxygens (NBOs). In the current study, molecular dynamics (MD) simulation as the powerful method was used to approve the recently observed relations. In this regard, various silicate-based compositions containing 25, 30, and 35 mol% of alkaline earth oxides were simulated. The T g , bond length, and the concentration of NBOs were evaluated using MD simulation results, including volume-temperature curves and radial distribution functions (RDF) results. According to the results, T g values of the simulated glass were reduced up to 400 K by increasing the amounts of additives up to 35 mol%. The distance between Si and O species as the glass former basis increased from 1.580, 1.591, 1.608, and 1.615 Å to 1.590, 1.596, 1.616, and 1.621 Å, in the SsiO 2 -MgO, SiO 2 -SrO, SiO 2 -CaO, SiO 2 -SrO, and SiO 2 -BaO systems, respectively. Besides, as found from the results, increasing the concentration of additives increases the mobility of Si-O paired atoms. Accordingly, the glass disorderliness or entropy of the systems increases with adding glass modifiers. Also, the concentration of NBOs in the mentioned systems was 35.9-56.3, 36.8-57.5, 26.1-43.9, and 18.2-29.7%. The results of NBOs confirm that the glass disordering increases by increasing amounts of additives. In summary, using MD simulation of silicate glass containing alkaline earth oxides, the relation between entropy as a theoretically calculated property and glass characteristics such as T g is successfully approved.
最长约 10秒,即可获得该文献文件

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
淡定紫菱完成签到,获得积分10
刚刚
所所应助HYH采纳,获得20
刚刚
刚刚
木香完成签到,获得积分10
1秒前
尘雾发布了新的文献求助10
2秒前
3秒前
高鑫完成签到 ,获得积分10
3秒前
英姑应助dd采纳,获得10
3秒前
Chan0501关注了科研通微信公众号
4秒前
4秒前
研友_LMNjkn发布了新的文献求助10
4秒前
tjunqi完成签到,获得积分10
5秒前
5秒前
科研通AI2S应助下课了吧采纳,获得10
6秒前
6秒前
6秒前
好的完成签到,获得积分20
7秒前
蜂蜜不是糖完成签到 ,获得积分10
7秒前
狮子最爱吃芒果完成签到,获得积分10
7秒前
8秒前
9秒前
尘雾完成签到,获得积分10
9秒前
澜生发布了新的文献求助10
10秒前
leekle完成签到,获得积分10
11秒前
shengChen发布了新的文献求助10
11秒前
自信鞯发布了新的文献求助10
12秒前
江北小赵完成签到,获得积分10
12秒前
12秒前
12秒前
clock完成签到 ,获得积分10
12秒前
虫二先生完成签到 ,获得积分10
12秒前
甜甜的难敌完成签到,获得积分10
13秒前
13秒前
14秒前
小潘同学完成签到,获得积分10
14秒前
14秒前
科研通AI5应助传统的海露采纳,获得10
15秒前
学术刘亦菲完成签到,获得积分10
15秒前
成就的烧鹅完成签到,获得积分20
15秒前
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527884
求助须知:如何正确求助?哪些是违规求助? 3108006
关于积分的说明 9287444
捐赠科研通 2805757
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709794