Skip to main content

A user-friendly quantum chemistry program for diatomics.

Project description

TUNA

Welcome to TUNA! A user-friendly quantum chemistry program for diatomics.


Fish swimming through a wavepacket

Contents

The repository includes:

  • This README file
  • The TUNA logo
  • The file LICENSE with the MIT license
  • The folder TUNA containing Python files
  • The installation file pyproject.toml
  • The TUNA manual
  • A changelog

Documentation

A copy of the TUNA manual can be found in this repository, and in the directory where the Python files are installed.

Using TUNA

Prerequisites

The program requires Python 3.12 or higher and the following packages:

  • numpy
  • scipy
  • matplotlib
  • plotly
  • scikit-image
  • termcolor

Installation

The simplest way to install TUNA is by running

pip install QuantumTUNA

Running

Add the folder where TUNA was installed to PATH, and then run TUNA --version which should print the correct version if TUNA has installed correctly.

The syntax of the command to run a TUNA calculation is:

TUNA [Calculation] : [Atom A] [Atom B] [Distance] : [Method] [Basis]

Read the manual for details!

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

quantumtuna-0.6.1.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

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

quantumtuna-0.6.1-py3-none-any.whl (529.2 kB view details)

Uploaded Python 3

File details

Details for the file quantumtuna-0.6.1.tar.gz.

File metadata

  • Download URL: quantumtuna-0.6.1.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for quantumtuna-0.6.1.tar.gz
Algorithm Hash digest
SHA256 c7cf2118d16012d42f691a39d71973e639edc8fd2b0c26d963f9e99a4886fdb4
MD5 3e8c36e29f6fc4f5429b0c6a4e03f45b
BLAKE2b-256 ba3e4220d345b10c957a8aee99707e5c5fcd66e918689753d349745826d7d536

See more details on using hashes here.

File details

Details for the file quantumtuna-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: quantumtuna-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 529.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for quantumtuna-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 46d06333cda3e224a5e6380026f6ce4c24e31d63e5b65fd97850a79bad5cb6a5
MD5 df58900f2e1ee7912d2462d12ca5e863
BLAKE2b-256 e52343906a88ecec541f1128c21f6b93cd66f22290f1e91640d5cdb75db481dd

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