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
Ship Agents Faster Icon
Ship Agents Faster

Transform your applications and workflows into powerful agentic systems at global scale.

Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Get Started Free
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