Advanced simulation of conductance histograms validated through channel-sensitive experiments on indium nanojunctions

Area of Science:

• Condensed matter physics
• Quantum transport
• Nanotechnology

Background:

• Predicting conductance histograms of atomic and molecular junctions is crucial for understanding nanoscale electronic devices.
• Existing methods often struggle to accurately capture the statistical nature of junction configurations.

Purpose of the Study:

• To develop and validate a self-contained methodology for predicting conductance histograms of atomic and molecular junctions.
• To accurately simulate quantum transport properties and molecular dynamics force field parameters.

Main Methods:

• Combining fast classical molecular-dynamics simulations with accurate density functional theory calculations.
• Confronting the methodology with experimental data from atomic-sized indium nanojunctions.
• Analyzing conductance histograms and individual channel transmission eigenvalues by fitting superconducting subgap features in I-V curves.

Main Results:

• The methodology successfully predicted conductance histograms for indium nanojunctions, showing remarkable agreement with experimental data.
• The distribution of individual channel transmission eigenvalues was accurately determined.
• Simulated ruptures reproduced a realistic statistical ensemble of contact configurations, unlike simulations on ideal geometries.

Conclusions:

• The developed methodology provides a robust and accurate approach for predicting the conductance of atomic and molecular junctions.
• This work highlights the importance of considering realistic contact configurations in nanoscale transport simulations.
• The findings have implications for the design and optimization of nanoscale electronic components.