Computational studies on transition metal and nitrogen atoms co-doped fullerene as an efficient electrocatalyst for nitrate reduction to ammonia

IF 2.2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY
Faiza Shafiq, Lei Yang, Weihua Zhu
{"title":"Computational studies on transition metal and nitrogen atoms co-doped fullerene as an efficient electrocatalyst for nitrate reduction to ammonia","authors":"Faiza Shafiq,&nbsp;Lei Yang,&nbsp;Weihua Zhu","doi":"10.1007/s11224-024-02443-w","DOIUrl":null,"url":null,"abstract":"<div><p>Persistent accumulation of nitrate in water causes an imbalance in the nitrogen cycle in the earth, posing a serious risk to human health and the ecosystem. The technique for electro catalyzing nitrate reduction has become widely employed due to the rapid development of efficient catalysts. Transition metal (TM)-based catalysts are highly sought due to their low cost and excellent catalytic activity. TM and nitrogen co-doped fullerene (TMN-C<sub>60</sub>) were constructed and investigated for nitrate reduction reaction (NO<sub>3</sub>RR) using DFT and AIMD. FeN-C<sub>60</sub> has been discovered to have a low limiting potential of − 0.56 V based on typical hydrogen electrode model, making it a potential candidate for NO<sub>3</sub>RR. The analysis of PDOS demonstrates the considerable <i>pd</i> hybridization and the interactions between dopants and C<sub>60</sub>. FeN-C<sub>60</sub> is stable over 400 K, confirming its sustainability in the electrocatalysis. Periodic spin-polarized DFT calculations were carried out using the DMol<sup>3</sup> package, utilizing the GGA-PBE functional and DND basis set. The DSPP technique and Grimme correction were applied to address core electrons and accurately correct dispersion force, respectively. Thermal smearing was set to 5.0 × 10<sup>−3</sup> Ha. AIMD simulations were implemented using NVT ensemble at 400 K. The total simulation time of 10 ps with 1 fs time step was used.</p></div>","PeriodicalId":780,"journal":{"name":"Structural Chemistry","volume":"36 4","pages":"1163 - 1171"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Structural Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s11224-024-02443-w","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Persistent accumulation of nitrate in water causes an imbalance in the nitrogen cycle in the earth, posing a serious risk to human health and the ecosystem. The technique for electro catalyzing nitrate reduction has become widely employed due to the rapid development of efficient catalysts. Transition metal (TM)-based catalysts are highly sought due to their low cost and excellent catalytic activity. TM and nitrogen co-doped fullerene (TMN-C60) were constructed and investigated for nitrate reduction reaction (NO3RR) using DFT and AIMD. FeN-C60 has been discovered to have a low limiting potential of − 0.56 V based on typical hydrogen electrode model, making it a potential candidate for NO3RR. The analysis of PDOS demonstrates the considerable pd hybridization and the interactions between dopants and C60. FeN-C60 is stable over 400 K, confirming its sustainability in the electrocatalysis. Periodic spin-polarized DFT calculations were carried out using the DMol3 package, utilizing the GGA-PBE functional and DND basis set. The DSPP technique and Grimme correction were applied to address core electrons and accurately correct dispersion force, respectively. Thermal smearing was set to 5.0 × 10−3 Ha. AIMD simulations were implemented using NVT ensemble at 400 K. The total simulation time of 10 ps with 1 fs time step was used.

过渡金属与氮原子共掺杂富勒烯作为硝酸还原制氨高效电催化剂的计算研究
硝酸盐在水中的持续积累导致地球氮循环失衡,对人类健康和生态系统构成严重威胁。由于高效催化剂的迅速发展,电催化硝酸还原技术得到了广泛的应用。过渡金属(TM)基催化剂因其低廉的成本和优异的催化活性而备受关注。构建了TM和氮共掺杂富勒烯(TMN-C60),并利用DFT和AIMD对其硝酸还原反应(NO3RR)进行了研究。基于典型氢电极模型,FeN-C60具有−0.56 V的低极限电位,是NO3RR的潜在候选材料。PDOS的分析表明了大量的pd杂化和掺杂剂与C60之间的相互作用。FeN-C60在400 K以上保持稳定,证实了其电催化的可持续性。使用DMol3封装,利用GGA-PBE泛函和DND基集进行周期性自旋极化DFT计算。DSPP技术和Grimme校正分别用于定位核心电子和精确校正色散力。热涂抹设置为5.0 × 10−3 Ha。采用NVT集成实现了400 K下的目标仿真。模拟总时间为10ps,时间步长为1fs。
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 求助全文
来源期刊
Structural Chemistry
Structural Chemistry 化学-化学综合
CiteScore
3.80
自引率
11.80%
发文量
227
审稿时长
3.7 months
期刊介绍: Structural Chemistry is an international forum for the publication of peer-reviewed original research papers that cover the condensed and gaseous states of matter and involve numerous techniques for the determination of structure and energetics, their results, and the conclusions derived from these studies. The journal overcomes the unnatural separation in the current literature among the areas of structure determination, energetics, and applications, as well as builds a bridge to other chemical disciplines. Ist comprehensive coverage encompasses broad discussion of results, observation of relationships among various properties, and the description and application of structure and energy information in all domains of chemistry. We welcome the broadest range of accounts of research in structural chemistry involving the discussion of methodologies and structures,experimental, theoretical, and computational, and their combinations. We encourage discussions of structural information collected for their chemicaland biological significance.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信