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Updated: Sep 27, 2025

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Radical Diffusion Crossover Phenomenon in Glass-Forming Liquids
Jakov Slade1, Dalibor Merunka1, Miroslav Peric2
1Division of Physical Chemistry, Ruđer Bošković Institute, Bijenička cesta 54, HR-10000 Zagreb, Croatia.
Diffusivities of a nitroxide radical in glass-forming liquids reveal a crossover from single-molecule to collective diffusion as temperature decreases. This finding aids understanding of molecular diffusion mechanisms.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Physics
Background:
- Understanding diffusion mechanisms in glass-forming liquids is crucial for materials science.
- Tracer diffusion studies provide insights into molecular mobility in complex fluids.
Purpose of the Study:
- To investigate the temperature-dependent diffusion of a nitroxide radical in molecular liquids.
- To analyze the crossover behavior from single-molecule to collective diffusion.
- To develop and validate a novel diffusion model for tracer studies.
Main Methods:
- Electron spin resonance (ESR) spectroscopy was used to measure radical diffusivities.
- Radical diffusivities were compared with solvent self-diffusivities across various temperatures.
- A new diffusion model combining single-molecule and collective processes was employed.
Main Results:
- Radical diffusivities were lower than solvent self-diffusivities at high temperatures, converging at low temperatures.
- This crossover behavior indicates a transition from single-molecule to collective diffusion with decreasing temperature.
- The novel diffusion model successfully analyzed the observed crossover phenomenon.
Conclusions:
- The study provides evidence for a temperature-driven transition in diffusion mechanisms in glass-forming liquids.
- The proposed diffusion model offers a framework for analyzing tracer diffusion crossover phenomena.
- Further research using this model can enhance the understanding of diffusion in complex liquid systems.
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