Automation and Abstraction of electron-phonon calculations using EPWpy

ORAL

Abstract



With the growing demand for materials tailored to specific applications, automated and scalable workflows have become essential for efficient materials discovery. While ground-state properties, which rely primarily on total-energy calculations, can be automated effectively, many-body properties involving electron–phonon interactions remain challenging due to the complexity and multi-step nature of their workflows. For example, each stage of a typical EPW calculation, ranging from DFT ground-state and Wannierization to fine-grid interpolation and transport property evaluation, traditionally requires significant manual intervention, hindering high-throughput screening. In this work, we present EPWpy, an open-source Python framework designed to automate and abstract the complex workflows required for EPW-based electron–phonon coupling calculations using Quantum ESPRESSO, EPW, and Wannier90. We demonstrate the framework’s capability by computing phonon-limited carrier mobilities for a dataset of over 200 two-dimensional materials. Finally, we highlight how this abstraction provides a foundation for performing computationally intensive non-equilibrium Green’s function (NEGF)-based carrier transport simulations with minimal human intervention, paving the way toward fully autonomous many-body materials discovery.

*This research is supported by the U.S. National Science Foundation through the CSSI awards no. OAC-2513830 and OAC-2103991 (EPWpy development), the Computational Materials Science program of the U.S. Department of Energy, Office of Science, Basic Energy Sciences under Award DE-SC0020129 (EPW interface), and SUPREME, one of seven centers in JUMP 2.0, a Semiconductor Research Corporation (SRC) program sponsored by DARPA (2D materials). Computational resources were provided by the National Energy Research Scientific Computing Center (a DOE Office of Science User Facility supported under Contract No. DE-AC02-05CH11231), the Argonne Leadership Computing Facility (a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357), and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin.

Presenters

  • Sabyasachi Tiwari

    • University of Texas at Austin

Authors

  • Sabyasachi Tiwari

    • University of Texas at Austin
  • Viet-Anh Ha

    • University of Texas Austin
    • University of Texas at Austin
  • Feliciano Giustino

    • University of Texas at Austin