TRACK code based on Python3 is useful for understanding the basic physics of transport behaviour by utilizing the electron-electron interaction. It is developed to calculate the temperature dependent transport properties (electrical conductivity, electronic part of thermal conductivity, Seebeck coefficient and Lorenz number) of different class of materials (e.g. correlated material) using the Kubo linear-response formalism. This method is implemented for estimating the transport properties using interacting (DFT+DMFT) and non-interacting (DFT) electronic structure methods. It is possible to use the relaxation time approximation in this code with the eigenvalues of DFT method. In present version, the code is interfaced with WIEN2k and eDMFTF codes.

Please cite the paper mentioned below while using the TRACK code for your research.

A. Sihi and S. K. Pandey, Comput. Phys. Commun. 285, 108640 (2023).

Link of the paper: https://doi.org/10.1016/j.cpc.2022.108640

Features

  • Kubo formalism
  • Electronic structure methods (DFT and DFT+DMFT)
  • Transport properties

Project Activity

See All Activity >

Follow TRACK code

TRACK code Web Site

Other Useful Business Software
Build Securely on AWS with Proven Frameworks Icon
Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of TRACK code!

Additional Project Details

Registered

2022-09-15