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Updated: Jun 19, 2026

Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
Quantitatively interpreting thermal behavior of self-associating systems.
Ger J M Koper1, Christophe B Minkenberg, Ian S Upton
1DelftChemTech, Delft University of Technology, Julianalaan 136, 2628 BL Delft, The Netherlands.
This study introduces a method to analyze calorimetric data for self-associating systems, revealing thermodynamic and structural details. It successfully determines aggregation numbers for surfactant self-assembly, validated by experimental evidence.
Area of Science:
- Physical Chemistry
- Thermodynamics
- Materials Science
Background:
- Calorimetric data provides rich information on molecular interactions.
- Analyzing self-associating systems requires robust thermodynamic models.
- Extracting structural information from calorimetric data is challenging.
Purpose of the Study:
- To present a general method for extracting thermodynamic and structural information from calorimetric data.
- To apply this method to ligand binding and surfactant self-assembly.
- To determine aggregation numbers using a mass balance model.
Main Methods:
- Utilized existing statistical thermodynamic models.
- Applied the method to simple and complex ligand binding systems.
- Employed a simple mass balance model for surfactant self-assembly.
Main Results:
- Successfully extracted thermodynamic and structural information from calorimetric data.
- Determined aggregation numbers for surfactant self-assembly.
- Validated the method with literature examples and experimental evidence.
Conclusions:
- The presented method offers a versatile approach to analyze calorimetric data for self-associating systems.
- It enables the determination of key thermodynamic and structural parameters, including aggregation numbers.
- This approach enhances the understanding of molecular interactions in various systems.
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