Computational understanding of the coalescence of metallic nanoparticles: a mini review

被引:5
作者
Jiang, Liang [1 ]
Guo, Yongxin [1 ]
Liu, Zhihui [2 ]
Chen, Shuai [2 ,3 ]
机构
[1] Wuxi Univ, Coll Automat, Wuxi 214105, Jiangsu, Peoples R China
[2] Shanghai Univ, Mat Genome Inst, Shanghai 200444, Peoples R China
[3] Shanghai Univ, Shanghai Frontier Sci Ctr Mech, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
HIGH-ENTROPY ALLOYS; IN-SITU; GOLD; GROWTH; CRYSTALLINITY; SIMULATION; SUPPORT; DRIVEN; COPPER; JANUS;
D O I
10.1039/d3nr06133g
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Metallic nanoparticles exhibit extraordinary properties that differ from those of bulk materials due to their large surface area to volume ratios. Coalescence of metallic nanoparticles has a huge impact on their properties. Remarkable progress has been made by using computational methods for understanding nanoparticle coalescence. This work aims to provide a mini review on the state-of-the-art modelling and simulation of nanoparticle coalescence. First, we will discuss the outstanding performances and coalescence behaviors of metallic nanoparticles, and list some challenges in the coalescence of metallic nanoparticles. Next, we will introduce the applications of molecular dynamics and the Monte Carlo method in nanoparticle coalescence. Furthermore, we will discuss the coalescence kinetics and mechanisms of metal nanoparticles with the same element and different elements, alloy nanoparticles and metal oxide nanoparticles. Finally, we will present our perspective and conclusion. This work provides a mini review on the state-of-the-art modelling and simulation of coalescence kinetics and mechanisms for metallic nanoparticles, including nanoparticles with the same and different elements, alloys and metal oxides.
引用
收藏
页码:5521 / 5536
页数:16
相关论文
共 115 条
  • [1] Effect of support on the coalescence between Ag@Au nanoalloys using MD simulations
    Akbarzadeh, Hamed
    Abbaspour, Mohsen
    Salemi, Sirous
    Hasani, Monireh
    [J]. JOURNAL OF MOLECULAR LIQUIDS, 2017, 244 : 390 - 397
  • [2] Molecular Dynamics Simulation of the Aggregation of Titanium Dioxide Nanocrystals: Preferential Alignment
    Alimohammadi, Mozhgan
    Fichthorn, Kristen A.
    [J]. NANO LETTERS, 2009, 9 (12) : 4198 - 4203
  • [3] On the coalescence of gold nanoparticles
    Arcidiacono, S
    Bieri, NR
    Poulikakos, D
    Grigoropoulos, CP
    [J]. INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2004, 30 (7-8) : 979 - 994
  • [4] Growth of three-shell onionlike bimetallic nanoparticles
    Baletto, F
    Mottet, C
    Ferrando, R
    [J]. PHYSICAL REVIEW LETTERS, 2003, 90 (13) : 4
  • [5] SEMIEMPIRICAL MODIFIED EMBEDDED-ATOM POTENTIALS FOR SILICON AND GERMANIUM
    BASKES, MI
    NELSON, JS
    WRIGHT, AF
    [J]. PHYSICAL REVIEW B, 1989, 40 (09): : 6085 - 6100
  • [6] MODIFIED EMBEDDED-ATOM POTENTIALS FOR CUBIC MATERIALS AND IMPURITIES
    BASKES, MI
    [J]. PHYSICAL REVIEW B, 1992, 46 (05) : 2727 - 2742
  • [7] Nanoparticle-based optical sensor arrays
    Bigdeli, Arafeh
    Ghasemi, Forough
    Golmohammadi, Hamed
    Abbasi-Moayed, Samira
    Nejad, M. Amin Farahmand
    Fahimi-Kashani, Nafiseh
    Jafarinejad, Somayeh
    Shahrajabian, Maryam
    Hormozi-Nezhad, M. Reza
    [J]. NANOSCALE, 2017, 9 (43) : 16546 - 16563
  • [8] Binder K., 1979, Monte Carlo Methods in Statistical Physics
  • [9] Morphological instability of core-shell metallic nanoparticles
    Bochicchio, Davide
    Ferrando, Riccardo
    [J]. PHYSICAL REVIEW B, 2013, 87 (16)
  • [10] Surface Segregation in Chromium-Doped NiCr Alloy Nanoparticles and Its Effect on Their Magnetic Behavior
    Bohra, Murtaza
    Grammatikopoulos, Panagiotis
    Diaz, Rosa E.
    Singh, Vidyadhar
    Zhao, Junlei
    Bobo, Jean-Francois
    Kuronen, Antti
    Djurabekova, Flyura
    Nordlund, Kai
    Sowwan, Mukhles
    [J]. CHEMISTRY OF MATERIALS, 2015, 27 (09) : 3216 - 3225