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
Zenflow- The AI Workflow Engine for Software Devs Icon
Zenflow- The AI Workflow Engine for Software Devs

Parallel agents. Multi-agent orchestration. Specs that turn into shipped code. Zenflow automates planning, coding, testing, and verification.

Zenflow is the AI workflow engine built for real teams. Parallel agents plan, code, test, and verify in one workflow. With spec-driven development and deep context, Zenflow turns requirements into production-ready output so teams ship faster and stay in flow.
Try free 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