Self-Diffusivity Measurement of Eutectic F7LiNaK with and without Additives Using Quasi-Elastic Neutron Scattering

IF 5.5 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2025-03-11 DOI:10.1021/acsaem.4c03249
G. S. Rakib, Shao-Chun Lee, Melissa A. Rose, Rebecca Mills, Daniel Pajerowski, Y Z and Brent J. Heuser*, 
{"title":"Self-Diffusivity Measurement of Eutectic F7LiNaK with and without Additives Using Quasi-Elastic Neutron Scattering","authors":"G. S. Rakib,&nbsp;Shao-Chun Lee,&nbsp;Melissa A. Rose,&nbsp;Rebecca Mills,&nbsp;Daniel Pajerowski,&nbsp;Y Z and Brent J. Heuser*,&nbsp;","doi":"10.1021/acsaem.4c03249","DOIUrl":null,"url":null,"abstract":"<p >The atomic scale relaxation dynamics of eutectic F<sup>7</sup>LiNaK (46.5 LiF–11.5 NaF–42 KF mol %, Li-7 enriched) were measured using quasi-elastic neutron scattering (QENS) over a temperature range of 500–750 °C. The effect of adding 0.988 mol % cerium, 0.499 mol % cesium, and 1.21 mol % zirconium individually to the dynamics of F<sup>7</sup>LiNaK was also investigated. The relaxation process in both pure and doped F<sup>7</sup>LiNaK molten salts was fit with a stretched exponential function and the temperature dependence follows an Arrhenius behavior over a wavevector transfer range of 0.4 Å<sup>–1</sup> &lt; <i>Q</i> &lt; 0.9 Å<sup>–1</sup>. The measured activation energy for self-diffusion is <i>E</i><sub>a</sub> = 0.77 ± 0.02 eV/atom for pure molten F<sup>7</sup>LiNaK. The QENS response with additives added to F<sup>7</sup>LiNaK was also fit with a stretched exponential and the associated Arrhenius behavior was characterized with activation energies of <i>E</i><sub>a</sub> = 0.88 ± 0.01 eV/atom for zirconium (1.21 mol %), <i>E</i><sub>a</sub> = 1.02 ± 0.02 eV/atom for cerium (0.988 mol %), and <i>E</i><sub>a</sub> = 0.71 ± 0.03 eV/atom for cesium (0.499 mol %). The measured diffusivities are compared to those simulated with a neural network force field model by Lee et al. [<contrib-group><span>Lee, S.-C.</span></contrib-group> Comparative Studies of the Structural and Transport Properties of Molten Salt FLiNaK Using the Machine-Learned Neural Network and Reparametrized Classical Forcefields. <cite><i>J. Phys. Chem. B</i></cite> <span>2021</span>, <em>125</em>(37), 10562–10570].</p>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":"8 6","pages":"3638–3646 3638–3646"},"PeriodicalIF":5.5000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"88","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acsaem.4c03249","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The atomic scale relaxation dynamics of eutectic F7LiNaK (46.5 LiF–11.5 NaF–42 KF mol %, Li-7 enriched) were measured using quasi-elastic neutron scattering (QENS) over a temperature range of 500–750 °C. The effect of adding 0.988 mol % cerium, 0.499 mol % cesium, and 1.21 mol % zirconium individually to the dynamics of F7LiNaK was also investigated. The relaxation process in both pure and doped F7LiNaK molten salts was fit with a stretched exponential function and the temperature dependence follows an Arrhenius behavior over a wavevector transfer range of 0.4 Å–1 < Q < 0.9 Å–1. The measured activation energy for self-diffusion is Ea = 0.77 ± 0.02 eV/atom for pure molten F7LiNaK. The QENS response with additives added to F7LiNaK was also fit with a stretched exponential and the associated Arrhenius behavior was characterized with activation energies of Ea = 0.88 ± 0.01 eV/atom for zirconium (1.21 mol %), Ea = 1.02 ± 0.02 eV/atom for cerium (0.988 mol %), and Ea = 0.71 ± 0.03 eV/atom for cesium (0.499 mol %). The measured diffusivities are compared to those simulated with a neural network force field model by Lee et al. [Lee, S.-C. Comparative Studies of the Structural and Transport Properties of Molten Salt FLiNaK Using the Machine-Learned Neural Network and Reparametrized Classical Forcefields. J. Phys. Chem. B 2021, 125(37), 10562–10570].

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用准弹性中子散射测量含添加剂和不含添加剂的共晶 F7LiNaK 的自扩散率
利用准弹性中子散射(QENS)在500 ~ 750℃范围内测量了共晶F7LiNaK (46.5 LiF-11.5 NaF-42 KF mol %,富集Li-7)的原子尺度弛豫动力学。研究了分别加入0.988 mol %铈、0.499 mol %铯和1.21 mol %锆对F7LiNaK动力学的影响。纯F7LiNaK熔盐和掺杂F7LiNaK熔盐的弛豫过程都符合拉伸指数函数,在0.4的波向传递范围内,温度依赖关系遵循Arrhenius行为Å-1 <;问& lt;0.9 a - 1。F7LiNaK熔液自扩散活化能为Ea = 0.77±0.02 eV/原子。F7LiNaK添加剂的QENS响应也符合扩展指数,相关Arrhenius行为的活化能为:锆(1.21 mol %) Ea = 0.88±0.01 eV/原子,铈(0.988 mol %) Ea = 1.02±0.02 eV/原子,铯(0.499 mol %) Ea = 0.71±0.03 eV/原子。测量的扩散系数与Lee等人用神经网络力场模型模拟的扩散系数进行了比较。基于机器学习神经网络和重参数化经典力场的熔盐FLiNaK结构和输运特性比较研究。期刊。化学。[j].中国生物医学工程学报,2016,32(5):444 - 444。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
期刊最新文献
Issue Publication Information Issue Editorial Masthead 70 Years of Excellence: Materials Science at Donghua University Online Mass Spectrometry Investigation of SEI Formation on Carbon Electrode Surfaces in Sodium-Ion Batteries: Oxygen and Additive Effects Synthesis of Stoichiometric Cu3BiS3 Thin Films through Sulfurization of Oxide Precursors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1