Skip to main content

Set of scripts to facilitate easy calculations of threshold displacement energies for materials in VASP/LAMMPS using ab initio/classical molecular dynamics.

Project description

findTDE

findTDE comprises a set of scripts to facilitate easy, high-throughput calculations of threshold displacement energies (TDEs) for materials using ab initio/classical molecular dynamics in VASP/LAMMPS. The threshold displacement energy is the minimum kinetic energy transfer from incident radiation to a lattice atom that produces a permanent defect. This property is useful for understanding the radiation hardness of a material, and it is a required parameter for binary collision approximation calculations (e.g., SRIM/TRIM).

Installation

Automatic installation is available with pip install findtde. The files may also be either downloaded manually or using git clone.

We recommend creating a virtual environment through Conda first, then installing findTDE. If you plan to use LAMMPS to perform calculations, you can install LAMMPS in the same environment with Conda.

Usage

The find_tde script may be called directly from the command line with several options. The usage may be displayed using the help (-h) option. The convergence mode (-c) determines how subsequent kinetic energy values are chosen for the displacement event, either "standard" (adjust by 5 eV until opposite defect generation is found, then adjust by 1 eV until the TDE is found) or "midpoint" (adjust by 8 eV until opposite defect generation is found, then adjust by half the distance from the current energy to the nearest energy of opposite defect generation). The program selection (-p) chooses whether VASP or LAMMPS is used for the calculations. If LAMMPS is used, the force field file may be chosen (-f).

find_tde [-h] [-c <standard|midpoint>] [-p <vasp|lammps>] [-f <lmp_ff.type>]

The script is currently written to execute via Slurm workload manager. This can be adjusted temporarily to execute the appropriate program.

The script relies on a directory structure. Only the base directory (e.g., "project," can be named anything), main input file ("latt_dirs_to_calc.csv"), inputs directory ("inp"), and perfect supercell directory ("perfect") are required to be made and named as described. findTDE should be executed in the "project" directory. Each "displacement" directory, associated "energy" directories, and relevant .csv/.txt files are created by the program.

project
│   latt_dirs_to_calc.csv   
│
└───displacement1
│   │   displacement1_data.csv
│   │   displacement1_out.txt
│   │   KE_calcs_list.txt
│   │
│   └───energyA
│   |   │   program_inputs
│   |   │   program_outputs
│   |   │   ...
│   │
│   └───energyB
│   |   │   program_inputs
│   |   │   program_outputs
│   |   │   ...
│   │
│   └───...
│
└───...
│   
└───inp
│   │   INCAR_cgm
│   │   INCAR_md
│   │   KPOINTS
│   │   POSCAR
│   │   POTCAR
│   │   lmp_ff.type
│   │   ...
│   
└───perfect
|   │   OUTCAR

The input file "latt_dirs_to_calc.csv" is required to specify the displacement event. This can either be created manually, or by using the multi_tde.py accessory script. The heading of this file may be used to describe the file format. The bottom row of the file is read when findTDE is executed, and that info is used for that TDE calculation. The first value is a "pseudo" to correspond to the displacement direction, given as an integer number (changes with each unique direction) and either "L" or "S" (describes whether the direction is given as a lattice direction [u v w] or spherical direction (rho, phi, theta)). The "atom_type" and "atom_number" detail which atom in the supercell is given the velocity vector to simulate the displacement event (e.g., atom_type: ga and atom_number: 34 corresponds to the 34th Ga atom, as listed in the POSCAR file, being displaced). The initial kinetic energy "ke_i" and cutoff kinetic energy "ke_cut" (stops the program if a defect is not found below this kinetic energy) are then defined. The direction is then defined, either using lattice direction integer notation or spherical coordinate notation (may be floats).

########################################
# format of text file
# nL    atom_type    atom_number    ke_i    ke_cut    u    v    w
# n+1S    atom_type    atom_number    ke_i    ke_cut    r    p    t
########################################

Citations

If you use findTDE in your research, please cite:

  • A. S. Hauck, M. Jin, and B. R. Tuttle, “Atomic displacement threshold energies and defect generation in GaN, AlN, and AlGaN: A high-throughput molecular dynamics investigation,” Applied Physics Letters, vol. 124, no. 15, p. 152107, Apr. 2024, doi: 10.1063/5.0190371.

Acknowledgements

The findTDE code was developed by Alexander Hauck, Dr. Mia Jin, and Dr. Blair Tuttle at The Pennsylvania State University.

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

findtde-1.1.10.tar.gz (12.9 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

findtde-1.1.10-py3-none-any.whl (14.0 MB view details)

Uploaded Python 3

File details

Details for the file findtde-1.1.10.tar.gz.

File metadata

  • Download URL: findtde-1.1.10.tar.gz
  • Upload date:
  • Size: 12.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.14

File hashes

Hashes for findtde-1.1.10.tar.gz
Algorithm Hash digest
SHA256 abbd735328faf6b94a126e2c1067839c42416f2cf66a5cbc12a680e7cb70efe1
MD5 7d86dda2b6ab3b81f46fcb37ecd1ddc4
BLAKE2b-256 1b822e11daa67bcf56b8525d89b7d134b230f2fafc1eb45ba8b77474a6100b70

See more details on using hashes here.

File details

Details for the file findtde-1.1.10-py3-none-any.whl.

File metadata

  • Download URL: findtde-1.1.10-py3-none-any.whl
  • Upload date:
  • Size: 14.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.14

File hashes

Hashes for findtde-1.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 d1b2f32951f664ca52864b73332f268790701ca9df7b712ddb7b27a0ff7963dc
MD5 79b0574e5c4028d785bcf57d26b72774
BLAKE2b-256 f707359bd82c3009a43222a8c440a33d3dd34d485eb5cb36b1625d77b58536f0

See more details on using hashes here.

Supported by

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