Defect accumulation and evolution in refractory multi-principal element alloys

材料科学 难熔金属 晶体缺陷 分子动力学 Atom(片上系统) 扩散 合金 立方晶系 星团(航天器) 化学物理 冶金 结晶学 热力学 计算化学 物理 化学 嵌入式系统 计算机科学 程序设计语言
作者
Shijun Zhao,Yaoxu Xiong,Shihua Ma,Jun Zhang,Biao Xu,Ji‐Jung Kai
出处
期刊:Acta Materialia [Elsevier BV]
卷期号:219: 117233-117233 被引量:101
标识
DOI:10.1016/j.actamat.2021.117233
摘要

Refractory multiple principal elemental alloys (MPEAs) hold great promise for structural materials in future nuclear energy systems. Compared to the extensively studied face-centered cubic (FCC) MPEAs, the irradiation resistance of body-centered cubic (BCC) refractory MPEAs is relatively less known. In this work, we study defect accumulation and evolution in two BCC VTaTi and VTaW MPEAs comparatively through atomistic simulations. For this purpose, we have parameterized the Embedded Atom Method (EAM) potential parameters for V metals. Combined with available potential parameters for other elements, we construct average atom models for the considered alloys to elucidate the effects of chemical complexities in BCC MPEAs. Our results based on Frenkel pair accumulation simulations suggest that the major influence of chemical fluctuations in BCC MPEAs is on the clustering behavior of defects, which leads to discrete point defects or small defect clusters, in contrast to the large defect clusters observed in the average atom model. We further show that the diffusion of interstitial clusters exhibits different modes due to chemical complexity. While interstitials show either three-dimensional or one-dimensional diffusion in the average atom model, the mean free path of interstitials in the random alloy is strongly suppressed. These results provide fundamental insights into the irradiation response of BCC MPEAs and pinpoint the critical role of chemical complexity on defect evolution, which lay the basis for the future development of irradiation-resistant structural materials based on BCC MPEAs.
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
无花果应助pw采纳,获得10
1秒前
1秒前
甜菜发布了新的文献求助100
1秒前
lxcy0612完成签到,获得积分10
1秒前
现代孤萍发布了新的文献求助10
3秒前
JamesPei应助LL采纳,获得10
3秒前
一袋薯片发布了新的文献求助10
4秒前
4秒前
4秒前
俏皮的以莲完成签到,获得积分10
4秒前
4秒前
orixero应助年轻小之采纳,获得10
5秒前
5秒前
6秒前
TvTiing完成签到,获得积分10
6秒前
lxcy0612发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
123456发布了新的文献求助10
8秒前
凉宫八月发布了新的文献求助10
9秒前
10秒前
科研通AI6.2应助予荷采纳,获得10
10秒前
never发布了新的文献求助10
11秒前
11秒前
惟珦发布了新的文献求助10
11秒前
LIANG发布了新的文献求助10
11秒前
碧蓝明雪应助友好的季节采纳,获得10
12秒前
13秒前
cao发布了新的文献求助10
13秒前
斯文败类应助Doran_luffy采纳,获得10
14秒前
14秒前
chunfengfusu发布了新的文献求助10
14秒前
飞快的孱完成签到,获得积分10
14秒前
加贝发布了新的文献求助10
16秒前
18秒前
18秒前
和花花完成签到,获得积分10
19秒前
20秒前
JamesPei应助一袋薯片采纳,获得10
20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
Positive Art Therapy Theory and Practice 800
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Neuroscience of Language 400
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7672256
求助须知:如何正确求助?哪些是违规求助? 9239275
关于积分的说明 19899615
捐赠科研通 7241775
什么是DOI,文献DOI怎么找? 3285255
关于科研通互助平台的介绍 2443420
邀请新用户注册赠送积分活动 2287456