Skip to main content

Framework to analyze properties of radiation-induced defects in semiconductor materials from first principles.

Project description

radDefects

radDefects is a framework to analyze properties of radiation-induced defects in semiconductor materials from first principles using VASP. radDefects extends the analysis tools for single point defects from other codes including pydefect, doped, and pymatgen-analysis-defects to facilitate analysis of radiation-induced defect configurations such as Frenkel pairs and defect clusters.

Installation

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

Usage

radDefects scripts may currently be called from the command line with Python. More streamlined CLIs will be added.

Acknowledgements

The radDefects 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

raddefects-1.0.1.tar.gz (238.7 kB view details)

Uploaded Source

Built Distribution

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

raddefects-1.0.1-py3-none-any.whl (240.6 kB view details)

Uploaded Python 3

File details

Details for the file raddefects-1.0.1.tar.gz.

File metadata

  • Download URL: raddefects-1.0.1.tar.gz
  • Upload date:
  • Size: 238.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.14

File hashes

Hashes for raddefects-1.0.1.tar.gz
Algorithm Hash digest
SHA256 7a1cbaee3063efc59d4f755733cabdf785c268fd917d32783380ff710b36568f
MD5 95bf82e1c685a29c3e2b3d43099c28a0
BLAKE2b-256 3f7837e9ed363adc2acdd80bb74f8bd3a5d0028a20958d2c7c45fd6c485e2af6

See more details on using hashes here.

File details

Details for the file raddefects-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: raddefects-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 240.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.14

File hashes

Hashes for raddefects-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 40944e65d5d7d5bfab5b278420c15eaa676607765021fc16e68a63a36a03ad97
MD5 34efb401e4dfa2277a289a836d751814
BLAKE2b-256 b347bda36bd3a8247d0ed381997dc307126222817281b37bdc22a0aadbc45892

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