• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

解析金属纳米颗粒的形态学和拓扑学能量贡献

Unravelling Morphological and Topological Energy Contributions of Metal Nanoparticles.

作者信息

Vega Lorena, Viñes Francesc, Neyman Konstantin M

机构信息

Departament de Ciència de Materials i Química Física, Universitat de Barcelona, c/Martí i Franquès 1-11, 08028 Barcelona, Spain.

Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/Martí i Franquès 1-11, 08028 Barcelona, Spain.

出版信息

Nanomaterials (Basel). 2021 Dec 22;12(1):17. doi: 10.3390/nano12010017.

DOI:10.3390/nano12010017
PMID:35009967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8746323/
Abstract

Metal nanoparticles (NPs) are ubiquitous in many fields, from nanotechnology to heterogeneous catalysis, with properties differing from those of single-crystal surfaces and bulks. A key aspect is the size-dependent evolution of NP properties toward the bulk limit, including the adoption of different NP shapes, which may bias the NP stability based on the NP size. Herein, the stability of different Pd NPs ( = 10-1504 atoms) considering a myriad of shapes is investigated by first-principles energy optimisation, leading to the determination that icosahedron shapes are the most stable up to a size of ca. 4 nm. In NPs larger than that size, truncated octahedron shapes become more stable, yet a presence of larger {001} facets than the Wulff construction is forecasted due to their increased stability, compared with (001) single-crystal surfaces, and the lower stability of {111} facets, compared with (111) single-crystal surfaces. The NP cohesive energy breakdown in terms of coordination numbers is found to be an excellent quantitative tool of the stability assessment, with mean absolute errors of solely 0.01 eV·atom, while a geometry breakdown allows only for a qualitative stability screening.

摘要

金属纳米颗粒(NPs)在从纳米技术到多相催化等许多领域都普遍存在,其性质与单晶表面和块体不同。一个关键方面是纳米颗粒性质随尺寸向块体极限的演变,包括采用不同的纳米颗粒形状,这可能会根据纳米颗粒的尺寸影响其稳定性。在此,通过第一性原理能量优化研究了考虑多种形状的不同钯纳米颗粒(含10 - 1504个原子)的稳定性,结果确定在尺寸约为4纳米以下时,二十面体形状最稳定。在大于该尺寸的纳米颗粒中,截顶八面体形状变得更稳定,但预计会出现比伍尔夫结构更大的{001}面,这是因为与(001)单晶表面相比,它们的稳定性增加,且与(111)单晶表面相比,{111}面的稳定性较低。发现基于配位数的纳米颗粒内聚能分解是稳定性评估的一种出色定量工具,平均绝对误差仅为0.01 eV·原子,而几何分解仅允许进行定性的稳定性筛选。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/6745d66125de/nanomaterials-12-00017-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/21c4b42d7d44/nanomaterials-12-00017-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/3731f416aaaa/nanomaterials-12-00017-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/82e36cdda7ba/nanomaterials-12-00017-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/ef50f06cd176/nanomaterials-12-00017-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/6f8e26d92c7a/nanomaterials-12-00017-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/6745d66125de/nanomaterials-12-00017-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/21c4b42d7d44/nanomaterials-12-00017-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/3731f416aaaa/nanomaterials-12-00017-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/82e36cdda7ba/nanomaterials-12-00017-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/ef50f06cd176/nanomaterials-12-00017-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/6f8e26d92c7a/nanomaterials-12-00017-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/8746323/6745d66125de/nanomaterials-12-00017-g006.jpg

相似文献

1
Unravelling Morphological and Topological Energy Contributions of Metal Nanoparticles.解析金属纳米颗粒的形态学和拓扑学能量贡献
Nanomaterials (Basel). 2021 Dec 22;12(1):17. doi: 10.3390/nano12010017.
2
Demystifying the Chemical Ordering of Multimetallic Nanoparticles.揭秘多金属纳米粒子的化学有序性。
Acc Chem Res. 2023 Feb 7;56(3):248-257. doi: 10.1021/acs.accounts.2c00646. Epub 2023 Jan 21.
3
Nanoparticle shapes by using Wulff constructions and first-principles calculations.利用伍尔夫结构和第一性原理计算的纳米颗粒形状
Beilstein J Nanotechnol. 2015 Feb 3;6:361-8. doi: 10.3762/bjnano.6.35. eCollection 2015.
4
Effect of Doping on Rutile TiO Surface Stability and Crystal Shapes.掺杂对金红石型TiO₂表面稳定性和晶体形状的影响。
ChemistryOpen. 2022 Jun;11(6):e202200077. doi: 10.1002/open.202200077.
5
Towards a morphology of cobalt nanoparticles: size and strain effects.迈向钴纳米颗粒的形态学:尺寸和应变效应。
Nanotechnology. 2020 May 8;31(19):195711. doi: 10.1088/1361-6528/ab6fe0.
6
Size-dependent adhesion energy of shape-selected Pd and Pt nanoparticles.尺寸依赖的形状选择的 Pd 和 Pt 纳米颗粒的附着能。
Nanoscale. 2016 Jun 2;8(22):11635-41. doi: 10.1039/c6nr02166b.
7
Dynamic nanoparticle assemblies.动态纳米粒子组装体。
Acc Chem Res. 2012 Nov 20;45(11):1916-26. doi: 10.1021/ar200305f. Epub 2012 Mar 26.
8
Controlling the Shapes of Nanoparticles by Dopant-Induced Enhancement of Chemisorption and Catalytic Activity: Application to Fe-Based Ammonia Synthesis.通过掺杂剂诱导增强化学吸附和催化活性来控制纳米颗粒的形状:在铁基氨合成中的应用
ACS Nano. 2021 Jan 26;15(1):1675-1684. doi: 10.1021/acsnano.0c09346. Epub 2020 Dec 23.
9
Predicting metal-metal interactions. II. Accelerating generalized schemes through physical insights.预测金属-金属相互作用。II. 通过物理见解加速广义方案。
J Chem Phys. 2020 Mar 7;152(9):094702. doi: 10.1063/1.5141378.
10
Effect of MgO(100) support on structure and properties of Pd and Pt nanoparticles with 49-155 atoms.MgO(100) 载体对具有 49-155 个原子的 Pd 和 Pt 纳米粒子的结构和性能的影响。
J Chem Phys. 2013 Aug 28;139(8):084701. doi: 10.1063/1.4817948.

引用本文的文献

1
Graph-informed convolutional autoencoder to classify brain responses during sleep.基于图信息的卷积自动编码器用于对睡眠期间的大脑反应进行分类。
Front Neurosci. 2025 Apr 28;19:1525417. doi: 10.3389/fnins.2025.1525417. eCollection 2025.
2
Sustainable performance evaluation of pharmaceutical companies: sustainable balanced scorecard and hybrid MCDM approach.制药公司的可持续绩效评估:可持续平衡计分卡与混合多准则决策方法
Front Public Health. 2025 Jan 8;12:1495156. doi: 10.3389/fpubh.2024.1495156. eCollection 2024.
3
Development of organizational healing scale: validity and reliability study.

本文引用的文献

1
Nanoscale engineering of catalytic materials for sustainable technologies.催化材料的纳观工程学用于可持续技术。
Nat Nanotechnol. 2021 Feb;16(2):129-139. doi: 10.1038/s41565-020-00799-8. Epub 2020 Nov 23.
2
Generalized gradient approximation adjusted to transition metals properties: Key roles of exchange and local spin density.针对过渡金属性质调整的广义梯度近似:交换和局域自旋密度的关键作用。
J Comput Chem. 2020 Nov 15;41(30):2598-2603. doi: 10.1002/jcc.26415. Epub 2020 Sep 9.
3
Towards a morphology of cobalt nanoparticles: size and strain effects.
组织愈合量表的编制:效度与信度研究。
Front Psychol. 2025 Jan 7;15:1491182. doi: 10.3389/fpsyg.2024.1491182. eCollection 2024.
4
Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets.使用优化的机器学习方法对不平衡数据集进行糖尿病分类的稳健预测框架。
Front Artif Intell. 2025 Jan 7;7:1499530. doi: 10.3389/frai.2024.1499530. eCollection 2024.
5
A role for qualitative methods in researching Twitter data on a popular science article's communication.定性方法在研究关于一篇科普文章传播的推特数据中的作用。
Front Res Metr Anal. 2025 Jan 7;9:1431298. doi: 10.3389/frma.2024.1431298. eCollection 2024.
6
Coverage- and Facet-Dependent Multiscale Modeling of O* and H* Adsorption on Pt Catalytic Nanoparticles.铂催化纳米颗粒上O*和H*吸附的覆盖度及晶面依赖性多尺度建模
J Phys Chem C Nanomater Interfaces. 2024 Apr 17;128(17):7073-7086. doi: 10.1021/acs.jpcc.3c08335. eCollection 2024 May 2.
7
Machine Learning-Driven Discovery of Key Descriptors for CO Activation over Two-Dimensional Transition Metal Carbides and Nitrides.机器学习驱动的二维过渡金属碳化物和氮化物上 CO 活化关键描述符的发现。
ACS Appl Mater Interfaces. 2023 Jun 28;15(25):30117-30126. doi: 10.1021/acsami.3c02821. Epub 2023 Jun 19.
迈向钴纳米颗粒的形态学:尺寸和应变效应。
Nanotechnology. 2020 May 8;31(19):195711. doi: 10.1088/1361-6528/ab6fe0.
4
Explaining Cu@Pt Bimetallic Nanoparticles Activity Based on NO Adsorption.基于NO吸附解释Cu@Pt双金属纳米颗粒的活性
Chemistry. 2020 Sep 4;26(50):11478-11491. doi: 10.1002/chem.201905672. Epub 2020 Aug 25.
5
Energy storage: The future enabled by nanomaterials.能源存储:纳米材料带来的未来。
Science. 2019 Nov 22;366(6468). doi: 10.1126/science.aan8285.
6
The influence of support materials on the structural and electronic properties of gold nanoparticles - a DFT study.支持材料对金纳米粒子结构和电子性质的影响——DFT 研究。
Phys Chem Chem Phys. 2019 Sep 21;21(35):19011-19025. doi: 10.1039/c9cp03066b. Epub 2019 Aug 29.
7
Room Temperature Methane Capture and Activation by Ni Clusters Supported on TiC(001): Effects of Metal-Carbide Interactions on the Cleavage of the C-H Bond.TiC(001)负载的镍团簇在室温下捕获和活化甲烷:金属-碳化物相互作用对C-H键裂解的影响
J Am Chem Soc. 2019 Apr 3;141(13):5303-5313. doi: 10.1021/jacs.8b13552. Epub 2019 Mar 18.
8
C60-fullerenes as Drug Delivery Carriers for Anticancer Agents: Promises and Hurdles.作为抗癌药物递送载体的C60富勒烯:前景与障碍
Pharm Nanotechnol. 2017;5(3):169-179. doi: 10.2174/2211738505666170301142232.
9
Jacob's Ladder as Sketched by Escher: Assessing the Performance of Broadly Used Density Functionals on Transition Metal Surface Properties.埃舍尔所绘的雅各布之梯:评估广泛使用的密度泛函对过渡金属表面性质的性能表现。
J Chem Theory Comput. 2018 Jan 9;14(1):395-403. doi: 10.1021/acs.jctc.7b01047. Epub 2017 Dec 12.
10
Size-Dependent Level Alignment between Rutile and Anatase TiO Nanoparticles: Implications for Photocatalysis.金红石型和锐钛矿型TiO纳米颗粒之间的尺寸依赖性能级排列:对光催化的影响。
J Phys Chem Lett. 2017 Nov 16;8(22):5593-5598. doi: 10.1021/acs.jpclett.7b02474. Epub 2017 Nov 3.