Statistical study of vacancy diffusion in TiC and TaC

空位缺陷 材料科学 动力学蒙特卡罗方法 密度泛函理论 碳化钽 扩散 金属 化学计量学 碳化物 凝聚态物理 蒙特卡罗方法 化学物理 热力学 物理化学 计算化学 冶金 化学 物理 统计 数学
作者
Xiaochuan Tang,Rofiques Salehin,Gregory B. Thompson,Christopher R. Weinberger
出处
期刊:Physical Review Materials [American Physical Society]
卷期号:4 (9) 被引量:16
标识
DOI:10.1103/physrevmaterials.4.093602
摘要

Density functional theory (DFT) simulations, Metropolis Monte Carlo (MMC), and kinetic Monte Carlo (kMC) simulations were performed to understand the mechanisms of mass diffusion in a group IVB transition metal carbide, TiC, and a group VB transition metal carbide, TaC. The DFT calculations were used to obtain the vacancy formation energy and migration energy of a variety of microstates for off-stoichiometric TiC and TaC. MMC simulations, based on our DFT results, were used to determine the ensemble average of the metal vacancy formation energy and determine the average size metal-vacancy clusters present in these materials. kMC simulations were used to determine the ensemble average of the migration energy barrier as well as understand how the vacancies in these materials, on average, migrate. These collective results show that metal vacancy migration in TiC and TaC are quite different, where Ti vacancies should be surrounded by four to five carbon vacancies whereas, on average, tantalum vacancies are surrounded by one or zero carbon vacancies. However, the carbon vacancies substantially contribute to metal vacancy diffusion in both these materials, as the metal vacancy statistically will have a carbon vacancy near it before and after migration. From these results, we find that the activation energy of metal vacancy diffusion is 7.66 eV in ${\mathrm{Ti}}_{0.995}{\mathrm{C}}_{0.97}$ and 6.41 eV in ${\mathrm{Ta}}_{0.995}{\mathrm{C}}_{0.97}$, which agrees reasonably well with experimentally reported activation energies. These results give further insights into the mechanisms associated with mass diffusion within the transition metal carbide families, an important insight needed to better elucidate high temperature diffusional creep responses which is often difficult to assess experimentally.

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
jiqipek完成签到,获得积分10
1秒前
Asdaf完成签到,获得积分10
1秒前
1秒前
彭于晏应助QH采纳,获得10
2秒前
Lyy发布了新的文献求助10
2秒前
4秒前
汪元昊发布了新的文献求助10
4秒前
kk完成签到,获得积分10
6秒前
6秒前
wzwz发布了新的文献求助10
7秒前
心碎的黄焖鸡完成签到 ,获得积分10
7秒前
科研狗发布了新的文献求助10
8秒前
9秒前
遇见发布了新的文献求助10
10秒前
123完成签到,获得积分10
10秒前
旧梦发布了新的文献求助10
10秒前
小二郎应助落后立果采纳,获得20
10秒前
溟夔蝶魅发布了新的文献求助10
11秒前
海绵宝宝完成签到 ,获得积分10
11秒前
深情元蝶发布了新的文献求助10
12秒前
isvv完成签到,获得积分10
12秒前
13秒前
gingertea完成签到,获得积分10
14秒前
在水一方应助skt采纳,获得30
14秒前
jnshen完成签到 ,获得积分10
15秒前
JamesPei应助脆脆采纳,获得10
15秒前
dz发布了新的文献求助10
16秒前
科研通AI6.2应助晓风残月采纳,获得30
16秒前
17秒前
Rsoup完成签到,获得积分10
18秒前
zxcxcxzcxz完成签到,获得积分10
19秒前
轩辕断天发布了新的文献求助10
19秒前
19秒前
qq12完成签到,获得积分10
20秒前
FashionBoy应助全叔采纳,获得10
20秒前
科研通AI6.1应助科研人采纳,获得10
21秒前
打打应助果酱采纳,获得10
21秒前
Lucas应助辛菜头采纳,获得10
22秒前
hechunmei发布了新的文献求助10
22秒前
未来科研大牛应助Nature采纳,获得20
22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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6500347
求助须知:如何正确求助?哪些是违规求助? 8295538
关于积分的说明 17703875
捐赠科研通 5597108
什么是DOI,文献DOI怎么找? 2918328
邀请新用户注册赠送积分活动 1895367
关于科研通互助平台的介绍 1756283