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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Quantum transport in random alloys with intermetallic needle-shape precipitates
Elham Sharafedini1, Hossein Hamzehpour1, Mohammad Alidoust1
1K. N. Toosi University of Technology, Department of Physics, Tehran 15875-4416, Iran.
Researchers developed a simple formula for electrical conductivity in composite materials with needle-shape precipitates. This formula aids in analyzing and designing such systems by considering various material and electrical parameters.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Computational Physics
Background:
- Composite materials with randomly distributed intermetallic precipitates are crucial in various technological applications.
- Understanding the electrical charge conductivity of these composites is essential for their effective design and utilization.
- Existing models may not fully capture the complex interplay of parameters influencing conductivity in such systems.
Purpose of the Study:
- To derive a simple, parametric formula for the effective electrical charge conductivity of composite systems.
- To establish a tool for analyzing and designing composite materials with needle-shape precipitates.
- To investigate the charge conductance threshold activation functionalities concerning various parameters.
Main Methods:
- Utilized Monte Carlo sampling for computational analysis.
- Employed a self-consistent multiscale numerical approach.
- Performed extensive fits to computational results to derive the parametric formula.
Main Results:
- Obtained a simple parametric formula for effective electrical charge conductivity.
- The formula incorporates parameters such as applied voltage, precipitate band gap and density, intermetallic density, and precipitate orientation.
- Determined charge conductance threshold activation functionalities for each parameter.
Conclusions:
- The derived parametric formula provides a valuable tool for the analysis and design of composite systems.
- The formula's ability to account for multiple parameters enhances its applicability in real-world scenarios.
- Further research can explore the formula's validation with experimental data and its extension to different precipitate morphologies.
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