Initial oxidation on 12 grain boundaries in pure TiN coating and on (Al,Si,Cr) doped Σ3 (111) grain boundaries: A first-principles calculations

材料科学 晶界 兴奋剂 吸附 氧气 表面能 涂层 图层(电子) 扩散 纳米技术 物理化学 冶金 复合材料 微观结构 热力学 光电子学 化学 物理 有机化学
作者
Song Wang,Yi Kong,Li Chen,Yong Du
出处
期刊:Surfaces and Interfaces [Elsevier BV]
卷期号:36: 102531-102531 被引量:1
标识
DOI:10.1016/j.surfin.2022.102531
摘要

In this work, using first-principles calculation method, the effect of twelve <110> symmetric tilt grain boundaries (GBs) on the initial oxidation behavior of TiN was studied. Firstly, the calculated GB energies show that for the TiN (1–10) surface with GBs from Σ3 to Σ27, Σ3 (111) GB possesses an extremely small GB energy (0.404 J/m2), while the other GBs possess a high energy (2.681∼4.834 J/m2). The electronic structure results show that the intrinsic characteristic of GB with high energy is well associated with the extra DOS peak existing in high energy region. Secondly, the oxygen adsorption results show that for TiN surfaces without GB, the order of adsorption energy of O is (100) > (110) > (111). When TiN (1–10) surface with different GBs, the sites at GBs are chemically more favorable sites for oxygen. The degree of weakening of oxidation resistance varies depending on the type of GBs, due to the apparent difference in oxygen adsorbability. Moreover, an interesting discovery is that Σ3 (111) GB provides a possibility to enhance the oxidation resistance of TiN, attributed to the easy introduction of Σ3 (111) GBs and suppressed inward progression of oxidation. Finally, the doping investigation in Σ3 (111) GB shows that among the three doping elements (Al, Si, and Cr), Si doping can further improve the oxidation resistance of (1–10) surface with Σ3 (111) GB in TiN, owing to the easy introduction of Si and formation of diffusion barrier layer of silicon oxides.

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
斯文败类应助知性的菠萝采纳,获得10
刚刚
蜗牛完成签到,获得积分10
1秒前
乐乐应助城九寒采纳,获得10
1秒前
1秒前
Lucas应助WuYiHHH采纳,获得30
1秒前
隐形曼青应助senli2018采纳,获得10
1秒前
勒恩梁完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
古月方源完成签到 ,获得积分10
3秒前
Lux完成签到,获得积分10
4秒前
5秒前
科研通AI6.1应助MADMAX采纳,获得10
5秒前
5秒前
zcy发布了新的文献求助10
6秒前
莫咏怡应助文件撤销了驳回
6秒前
6秒前
聪慧不可发布了新的文献求助30
6秒前
格子发布了新的文献求助10
7秒前
惊蛰发布了新的文献求助30
7秒前
舒服的从阳完成签到 ,获得积分10
7秒前
7秒前
完美世界应助白汐采纳,获得10
7秒前
ansei完成签到,获得积分10
8秒前
田様应助善恶成采纳,获得10
9秒前
打打应助科研通管家采纳,获得10
9秒前
CodeCraft应助科研通管家采纳,获得10
9秒前
共享精神应助科研通管家采纳,获得10
9秒前
Hsien应助科研通管家采纳,获得10
9秒前
FashionBoy应助科研通管家采纳,获得10
9秒前
SciGPT应助科研通管家采纳,获得10
9秒前
Jasper应助科研通管家采纳,获得10
9秒前
orixero应助科研通管家采纳,获得10
9秒前
乐乐应助科研通管家采纳,获得10
9秒前
9秒前
今后应助科研通管家采纳,获得10
9秒前
泠鸢应助科研通管家采纳,获得30
9秒前
Jasper应助科研通管家采纳,获得10
10秒前
生生完成签到,获得积分10
10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
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 6346724
求助须知:如何正确求助?哪些是违规求助? 8161496
关于积分的说明 17166399
捐赠科研通 5402921
什么是DOI,文献DOI怎么找? 2861277
邀请新用户注册赠送积分活动 1839108
关于科研通互助平台的介绍 1688493