Abstract
Colloidal nanoparticles are of great interest in modern science and industry. However, thermodynamic mechanism and dynamics of nanoparticle growth have yet to be understood. Addressing these issues, we tracked hundreds of in-situ growth trajectories of a nanoparticle ensemble using liquid-phase TEM and discovered that the nanoparticle growth, including coalescence, exhibits nanoparticle size-dependent multiphasic dynamics, unexplainable by current theories. Motivated by this finding, we developed a new model and theory for an ensemble of growing nanoparticles, providing a unified, quantitative understanding of the time-dependent mean and fluctuation of nanoparticle size and size-dependent growth rate profiles across various nanoparticle systems and experimental conditions. Our work reveals that the chemical potential in a small nanoparticle strongly deviates from the Gibbs-Thomson equation, shedding light on how it governs the size-dependent growth dynamics of nanoparticles.
Supplementary materials
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Supporting Information
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Supporting Information file
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Supplementary Video S1
Description
Pt nanoparticle growth in liquid cell using Pt(acac)2 precursor.
This video has a frame rate of 1 image per second. The video plays 10 times faster than in real-time. Right side: frame overlaid with boundaries (red lines) detected by our binarization method.
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Supplementary Video S2
Description
Pt nanoparticle growth in liquid cell using Pt(acac)2 precursor.
This video has a frame rate of 2 image per second. The video plays 10 times faster than in real-time. Right side: frame overlaid with boundaries (red lines) detected by our binarization method.
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Supplementary Video S3
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Pt nanoparticle growth in liquid cell using Pt(COD)Cl2 as a precursor instead of Pt(acac)2.
This video has a frame rate of 2 image per second. The video plays 10 times faster than in real-time. Right side: frame overlaid with boundaries (red lines) detected by our binarization method.
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Supplementary Video S4
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Au nanoparticle growth in liquid cell using HAuCl4 precursor.
This video has a frame rate of 2 image per second. The video plays 10 times faster than in real-time. Right side: frame overlaid with boundaries (red lines) detected by our binarization method.
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