Related Experiment Video
Updated: Sep 10, 2025

08:39
Liquid-cell Transmission Electron Microscopy for Tracking Self-assembly of Nanoparticles
Published on: October 16, 2017
12.8K
Glassy dynamics and a growing structural length scale in supercooled nanoparticles.
Weikai Qi1, Shreya Tiwary1, Richard K Bowles1,2
1Department of Chemistry, University of Saskatchewan, Saskatoon, Saskatchewan S7H 0H1, Canada.
The Journal of Chemical Physics
|August 22, 2025
Summary
Supercooled nanoparticles exhibit a lowered glass transition temperature, decreasing with size. Their relaxation dynamics correlate with structural cluster growth, explained by the random first-order transition entropic droplet model.
Area of Science:
- Condensed matter physics
- Materials science
- Computational chemistry
Background:
- Supercooled liquids exhibit complex dynamics near the glass transition.
- Nanoparticle systems present unique thermodynamic and dynamic properties compared to bulk materials.
- Understanding structure-dynamics relationships is crucial for designing materials with specific properties.
Purpose of the Study:
- To investigate the relationship between structure and dynamics in supercooled binary Lennard-Jones nanoparticles.
- To determine how particle size affects the glass transition temperature and relaxation behavior.
- To explore the applicability of theoretical models to nanoparticle dynamics.
Main Methods:
- Molecular dynamics simulations were employed to model binary Lennard-Jones nanoparticles.
- Varying particle sizes were simulated to observe size-dependent effects.
- Analysis included calculating the glass transition temperature, relaxation times (intermediate scattering function), and local structures.
Main Results:
- The glass transition temperature of nanoparticles is significantly lowered compared to the bulk, following a N-1/3 relationship with decreasing particle size.
- Growing relaxation times at low temperatures are coupled with the formation of physical clusters.
- The observed behavior is consistent with the random first-order transition entropic droplet model, with size-dependent exponents.
Conclusions:
- Nanoparticle size plays a critical role in modifying the glass transition and dynamics of supercooled systems.
- The random first-order transition entropic droplet model provides a useful framework for understanding nanoparticle dynamics, though size-dependent modifications are necessary.
- This study offers insights into the fundamental physics governing supercooled liquids confined to nanoscale.
More Related Videos
Related Concept Videos
Crystal Growth: Principles of Crystallization
2.6K
Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
2.6K
Phase Transitions: Melting and Freezing
13.1K
Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
13.1K
Recrystallization: Solid–Solution Equilibria
1.2K
Recrystallization is a purification technique used to separate impurities from solid compounds. In this technique, no chemical reactions occur. Instead, it exploits physical properties only, specifically, the solubility differences between the desired compound and impurities, either at a single temperature or at different temperatures, and under other selected conditions. The solid-solution equilibrium (solubility equilibrium) of each component in the solution represents a binary phase...
1.2K

