Skip to main content

A Python wrapper for Atomic Simulation Interface API

Project description

Atomic Similation Interface (ASI) API

Atomic Simulation Interface (ASI) is a native C-style API that includes functions for export and import of data structures that are used in electronic structure calculations and for classical molecular dynamics simulations. ASI aims to be a uniform, generic and efficient interface for connecting various computational chemistry and materials science codes in multiscale simulation workflows, such as QM/MM, QM/ML, QM/QM. ASI specifies functions, data types and calling conventions for export and import of density matrices, overlap and Hamiltonian matrices, electrostatic potential, atomic coordinates, charges, total energy and forces.

ASI API specification

ASI API is specified as a C header file asi.h. Codes implementing ASI API must provide linkable library with definitions of functions from asi.h. Depending on particular usage of the implementaions, some functions can be ommited or implemented as stubs, if they are not going to used. To use Python ASI wrapper it is necessary to have all functions from asi.h defined, but of course stub definitions can be used.

ASI API specification.

Supported in:

Building

FHI-aims

FHI-aims has embedded support of ASI API. Just build latest version of FHI-aims as a shared library and use with your code.

DFTB+

  1. Download and build DFTB+ from the branch with ASI API with shared library support.

  2. Set environment variables DFTBP_INCLUDE and DFTBP_LIB_DIR to folders with DFTB+ C-headers and libraries.

  3. Optionally export environment variables INSTALL_PREFIX and BUILD_PATH to set installation and building locations.

  4. Run make && make install from the root of the working copy of this repository.

  5. The shared library implementing ASI API for DFTB+ will be in ${INSTALL_PREFIX}/lib.

Testing

Use Makefile in tests folder to build native tests. Set environment variables in the header of tests/Makefile to link with proper ASI API implementaions.

To run tests go to tests/testcases and run run_dftbp_tests.sh or run_aims_tests.sh to run test.

Usage

See tests/src for examples of usage in native code.

See tests/python for examples of usage in Python scripts.

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

asi4py-1.3.11.tar.gz (16.1 kB view details)

Uploaded Source

Built Distribution

asi4py-1.3.11-py3-none-any.whl (15.8 kB view details)

Uploaded Python 3

File details

Details for the file asi4py-1.3.11.tar.gz.

File metadata

  • Download URL: asi4py-1.3.11.tar.gz
  • Upload date:
  • Size: 16.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.2

File hashes

Hashes for asi4py-1.3.11.tar.gz
Algorithm Hash digest
SHA256 6d6fc2f907614d39b45ae5f8b90346d459adc6b264b3085bdd9451043ac100ad
MD5 3f67644fc464d0dd4aaf573378fd7918
BLAKE2b-256 e33b687cff8c1521eed1081f988e7de32a4fbced526f85baaa9a6385082200d3

See more details on using hashes here.

File details

Details for the file asi4py-1.3.11-py3-none-any.whl.

File metadata

  • Download URL: asi4py-1.3.11-py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.2

File hashes

Hashes for asi4py-1.3.11-py3-none-any.whl
Algorithm Hash digest
SHA256 c04db2a6e1dea6d03d505210128d9a8bcd776f950c1bdce4b1033eb50ea3c8d5
MD5 1cae34cc94f7fdd94365c26833fe84cb
BLAKE2b-256 1cb35ba60214821ddfd9d5a4e9d91b324f517fdcc724236dee7f133c7f4ccba5

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page