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Structural diversity in binary nanoparticle superlattices

Author

Listed:
  • Elena V. Shevchenko

    (T. J. Watson Research Center
    Columbia University
    Columbia University
    Lawrence Berkeley National Laboratory)

  • Dmitri V. Talapin

    (T. J. Watson Research Center
    Lawrence Berkeley National Laboratory)

  • Nicholas A. Kotov

    (University of Michigan)

  • Stephen O'Brien

    (Columbia University
    Columbia University)

  • Christopher B. Murray

    (T. J. Watson Research Center)

Abstract

Nanoparticle self-assembly The assembly of nanoparticles of two different materials into a binary nanoparticle superlattice is a promising way of synthesizing a large variety of materials (metamaterials) with precisely controlled chemical composition and tight placement of the components. In theory only a few stable binary superlattice structures can assemble from hard spheres, potentially limiting this approach. But all is not lost because at the nanometre scale there are additional forces (electrostatic, van der Waals and dipolar) that can stabilize binary nanoparticulate structures. Shevchenko et al. now report the synthesis of a dozen novel structures from various combinations of metal, semiconductor, magnetic and dielectric nanoparticles. This demonstrates the potential of self-assembly in designing families of novel materials and metamaterials with programmable physical and chemical properties.

Suggested Citation

  • Elena V. Shevchenko & Dmitri V. Talapin & Nicholas A. Kotov & Stephen O'Brien & Christopher B. Murray, 2006. "Structural diversity in binary nanoparticle superlattices," Nature, Nature, vol. 439(7072), pages 55-59, January.
    • Handle: RePEc:nat:nature:v:439:y:2006:i:7072:d:10.1038_nature04414
    DOI: 10.1038/nature04414
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    Cited by:

    1. Yilong Zhou & Gaurav Arya, 2022. "Discovery of two-dimensional binary nanoparticle superlattices using global Monte Carlo optimization," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    3. Bum Chul Park & Min Jun Ko & Young Kwang Kim & Gyu Won Kim & Myeong Soo Kim & Thomas Myeongseok Koo & Hong En Fu & Young Keun Kim, 2022. "Surface-ligand-induced crystallographic disorder–order transition in oriented attachment for the tuneable assembly of mesocrystals," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    4. Shu Hu & Junyang Huang & Rakesh Arul & Ana Sánchez-Iglesias & Yuling Xiong & Luis M. Liz-Marzán & Jeremy J. Baumberg, 2024. "Robust consistent single quantum dot strong coupling in plasmonic nanocavities," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    5. Yue Liu & Na Peng & Yifeng Yao & Xuan Zhang & Xianqi Peng & Liyan Zhao & Jing Wang & Liang Peng & Zuankai Wang & Kenji Mochizuki & Min Yue & Shikuan Yang, 2022. "Breaking the nanoparticle’s dispersible limit via rotatable surface ligands," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    6. Pengji Zhou & Sharon C. Glotzer, 2021. "Inverse design of isotropic pair potentials using digital alchemy with a generalized Fourier potential," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(12), pages 1-10, December.

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