Skip to main content

A phonon calculation package based on dflow

Project description

dflow-phonon

Overview

This workflow is a part of AI Square.I want to make the process of computing phonon more automatic.So I write this workflow based on dflow.The related computational tasks are submitted to the Bohrium platform.

This workflow supports phonon calculations based on both DFT and DP potential.More specifically, DFT calculations support VASP code and ABACUS code.The part of phonon computation is implemented by using Phonopy code and Phonolammps code.

Easy Install:

pip install --index-url https://pypi.org/simple/ dflow-phonon

Quick Start

You can go to the example folder . You can see that there are some examples for reference . You can go to one of them and fill in the global.json file . Then you can submit the workflow.

If you want to use VASP code to do the DFT calculation , like the folder vasp_dfpt_demo and vasp_displacement_demo . You need to prepare INCAR , POSCAR , POTCAR , global.json and param.json , then :

dflowphonon --vasp

If you want to use ABACUS code,like the folder abacus_demo.You need to prepare INPUT , STRU , *.UPF , global.json and param.json ( notice that *.orb and KPT is optional ) , then :

dflowphonon --abacus

If you want to use DP potential,like the folder dp_demo , you need to prepare POSCAR , frozen_model.pb , global.json and param.json , then :

dflowphonon --dp

Then you can monitor the workflow process on the website.

If you want to watch the phonon band structure , you can go to the folder where band.dat exists , then

dflowphonon-plot

The file named phonon_band_structure is the result picture.

Details of Workflow

If you want to use VASP code,you can choose from two calculation methods.One is linear response method and anothers is finite displacement method.

One advantage of the linear response method over the finite displacement method is that one does not need to create super-cells, which can be in some cases computationally more efficient. Moreover, in systems where the phonon dispersions behave in an anomalous way (like systems with Kohn anomalies) the linear response method is more suitable, because it is capable of calculating the exact phonons at the requested points.

One advantage of the finite displacement method is that it is an add on that can work with any code, also non-density functional theory codes. All is needed is the ability of the external code to compute forces (codes like ABACUS and wien2k for example do not include an implementation of the linear response method, but the finite displacement method implemented in phon can be used in conjunction with these codes).

You can read this paper[1] to get more information about these methods.

Unlike VASP code, ABACUS code does not support linear response method for now, so the finite displacement method is used by default when using ABACUS code.

In order to calculate phonon structure band using DP potential,I use phonolammps code to achieve it.

In order to handle force constants obtained by finite displacement method and linear response method.I use phonopy code which is a robust and easy-to-use open-source code for first principles phonon calculations.You can read this paper[2] for more information.

Reference

[1] Alfe, D. (2007). Tutorial on calculating phonons: comparing the linear response and the small displacement methods. Department of Earth Sciences and Department of Physics and Astronomy, University College, London.

[2]Togo, A., & Tanaka, I. (2015). First principles phonon calculations in materials science. Scripta Materialia, 108, 1-5.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dflow-phonon-0.0.22.tar.gz (9.3 kB view details)

Uploaded Source

Built Distribution

dflow_phonon-0.0.22-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file dflow-phonon-0.0.22.tar.gz.

File metadata

  • Download URL: dflow-phonon-0.0.22.tar.gz
  • Upload date:
  • Size: 9.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for dflow-phonon-0.0.22.tar.gz
Algorithm Hash digest
SHA256 322458f2cc486f36955ff22d357b526bec3dcd0e96f0b040962a30f64c405c34
MD5 502dd0ed878bfe4fed70efd35aa638ca
BLAKE2b-256 f49014d1b451014af0a4e469cd6b9a46d4f386b3d2571da70d82dc37a9ee4238

See more details on using hashes here.

File details

Details for the file dflow_phonon-0.0.22-py3-none-any.whl.

File metadata

File hashes

Hashes for dflow_phonon-0.0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 b4f8600faeb4460791a0ba5ad1c4846c7fdc8df83df848dc9106946dbdf287e2
MD5 8d2a6f49c87c7ad17d6dd68243a0b68f
BLAKE2b-256 6b6c2556a3a313140e40e7166773ad0bc7313ff4f3295e70f95fce2d608c04b5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page