Skip to main content

API database tools for accessing the NIST Interatomic Potentials Repository: explore and download interatomic potentials and computed properties.

Project description

Introduction

The potentials package provides a Python-based interface to the content hosted on the NIST Interatomic Potentials Repository. The package directly interacts with the underlying database hosted at https://potentials.nist.gov/ allowing for the metadata for all hosted interatomic potentials to be searched and explored.

Jupyter Notebooks

Setup

  • 0. Initial Setup.ipynb instructs new users on how default settings for the local copy of the database can be set and changed.

Search Tools

  • Search Potential Entries.ipynb colab logo provides a user-friendly interface for searching and exploring the known interatomic potentials.

  • Search LAMMPS Potentials.ipynb colab logo provides a user-friendly interface for searching and exploring the known LAMMPS interatomic potentials. Parameter files can be downloaded, and the associated LAMMPS command lines shown.

  • Database Class.ipynb colab logo provides details for how to interact with Database objects to perform more complicated searches directly in Python.

Adding Content

  • Add LAMMPS Potentials.ipynb shows how users can integrate their own LAMMPS potential implementations with the Python code.

  • Content Manager.ipynb provides a working document for those with access to add and modify repository content.

Package Features

Implemented

  • Anyone can use the Database class to explore hosted records.

  • Publication citations are handled with the Citation class that can read/write citation data as bibtex, JSON, or XML. New citations can be constructed, existing ones updated, and can be rendered as HTML.

  • Metadata descriptions of interatomic potentials (citation info, notes, and a list of known implementations) are handled with the Potential class. New potentials can be constructed, existing ones updated, saved/loaded from XML or JSON, and can be rendered as HTML.

  • The PotentialLAMMPS class can be used to generate proper LAMMPS input commands for the hosted LAMMPS-compatible interatomic potentials. Any LAMMPS parameter files can also be downloaded.

  • Any record can be copied, and all records can be downloaded to a local directory. If the path to the local directory is given, the Database class can interact with the local copy in a manner comparable to the remote database.

  • Tools supporting the construction of the records used by PotentialLAMMPS for different LAMMPS pair styles so that users can integrate their personal LAMMPS potentials with the code and database records.

  • Classes for interacting with FAQ, Requests, and Action records used by the Interatomic Potentials Repository.

To do

  • Entries for OpenKIM potentials need to be removed from the data directory and merged with the remote database entries.

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

potentials-0.2.8.tar.gz (65.7 kB view details)

Uploaded Source

Built Distribution

potentials-0.2.8-py3-none-any.whl (89.8 kB view details)

Uploaded Python 3

File details

Details for the file potentials-0.2.8.tar.gz.

File metadata

  • Download URL: potentials-0.2.8.tar.gz
  • Upload date:
  • Size: 65.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for potentials-0.2.8.tar.gz
Algorithm Hash digest
SHA256 7c2169588172fb56da93ab4297819bf9d1b2b680650d8a0a293ce6cbd57441c6
MD5 3b1e59888013445338f673665b6984cc
BLAKE2b-256 6e764666b7906a3545dfcb61ba274c06b16791af9d127faef753a073ef2bdf1b

See more details on using hashes here.

File details

Details for the file potentials-0.2.8-py3-none-any.whl.

File metadata

  • Download URL: potentials-0.2.8-py3-none-any.whl
  • Upload date:
  • Size: 89.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for potentials-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 ff6f94a99da6ee41d8fd6fe92e6380a12146b73d1102462e066e8c5fe91c4af0
MD5 8028b033a09019b417b6d7d0d8de6794
BLAKE2b-256 e27b2604cdbb835dcdf465f6a1b439d0f8e15a8e4a9041f49fb2ee2ee0288c95

See more details on using hashes here.

Supported by

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