Skip to main content

interactive application that allows users to draw the sigma skeleton of conjugated systems, build the corresponding Hückel matrix, calculate π molecular orbitals, and visualize the numerical results as tables and graphics

Project description

HMObanner

Hückel Molecular Orbital (HMO) Viewer & Drawer

HMO.py is an interactive application that allows users to draw the sigma skeleton of conjugated systems, build the corresponding Hückel matrix, calculate π molecular orbitals, and visualize the numerical results as tables and graphics.

Main Features

  • ✏️ Interactive drawing of the sigma skeleton molecules (adding atoms, bonds and global charges),
  • ⚙️ Automatic calculation of π molecular orbitals using the Hückel method,
  • ⚛️ Display of molecular orbital coefficients, energies and reactivity descriptors,
  • 🔬 Calculation of various descriptors:
    • Total π-electron energy,
    • HOMO-LUMO gap,
    • Electronic potential (μ),
    • Chemical hardness (η),
    • Chemical softness (S),
    • Electrophilicity index (ω),
  • 💾 Save/load molecules in .hmo format,
  • 🖨️ Export results to PDF,
  • 📈 Export of data to Excel (.xlsx) files,
  • 🖼️ Graphical display of the molecule in the results window.

Installation

The required dependencies are listed in the pyproject.toml file. If you install the project via pip install hmo, all dependencies will be handled automatically.

Launch

python HMO.py

Usage

1️⃣ Drawing:

  • Click to add atoms on the canvas,
  • Click and drag between two atoms to create a bond,
  • Delete or modify atoms/bonds as needed.

2️⃣ Run Hückel:

  • Once the molecule is built, click the Run Hückel button to perform the calculations.

3️⃣ Results:

  • Click Show Numerical Results to open the detailed window:
    • Molecule displayed with atom numbering,
    • Full table of molecular orbitals and descriptors,
    • Scrollbars are available for larger molecules.

4️⃣ Saving:

  • Save the molecule using the menu or the dedicated button (in .hmo format),
  • Export Excel results after running the calculation.
  • Generate a PDF full report with sigma skeleton, MOs, and descriptors.
Graphical doc

.hmo File Format

A simple text file structured as follows:

Nodes:
C· 330.0 180.0
C· 480.0 210.0
...
Bonds:
0 1
1 2
...
  • Each atom: Type x y
  • Each bond: index_atom1 index_atom2

Known Limitations

  • The method is limited to planar π-conjugated systems,
  • Atom names must be recognized by the library (e.g., C·, O:, etc.),
  • No graphical export into the Excel file yet (planned for a future version).

Roadmap

  • Improved color and style management,
  • Support for user-defined Hückel parameters,
  • Optional integration of molecule snapshots in the Excel file.

Useful Links

Credits

This project was developed by Romuald Poteau (LPCNO, University of Toulouse, CNRS & INSA), with strong contributions of ChatGPT for documentation, the graphical interface, and calculation features.

Thanks to users and testers for their feedback and improvement suggestions.

Bibliography

  • Erich Hückel, Quantentheoretische Beiträge zum Benzolproblem. I. Die Elektronenkonfiguration des Benzols und verwandter Verbindungen (1931), Z. Phys. 70: 204–286. DOI: 10.1007/BF01339530

  • Andrew Streitwieser, Molecular Orbital Theory for Organic Chemists (1961), Wiley International Edition, 4th Edition, Wiley.

  • Robert Burns Woodward & Roald Hoffmann, The Conservation of Orbital Symmetry (1969) Angew. Chem., Int. ed. Eng. 8: 781-853. DOI: 10.1002/anie.196907811

  • Frederic A. Van-Catledge, A Pariser-Parr-Pople-based set of Hückel molecular orbital parameters (1980), J. Org. Chem. 45: 4801–4802. DOI: 10.1021/jo01311a060

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

hmo-0.7.7.tar.gz (35.9 MB view details)

Uploaded Source

Built Distribution

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

hmo-0.7.7-py3-none-any.whl (4.5 MB view details)

Uploaded Python 3

File details

Details for the file hmo-0.7.7.tar.gz.

File metadata

  • Download URL: hmo-0.7.7.tar.gz
  • Upload date:
  • Size: 35.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for hmo-0.7.7.tar.gz
Algorithm Hash digest
SHA256 1240711193aa56815407d7ea50917b4a5a6647f47a209c0d9f1161e7f100c300
MD5 be552154988c7ceeeb56986196775e98
BLAKE2b-256 14cd6ba768ef8cb502626969b31c3e674c87f3a652282dc22551f1ead205b780

See more details on using hashes here.

File details

Details for the file hmo-0.7.7-py3-none-any.whl.

File metadata

  • Download URL: hmo-0.7.7-py3-none-any.whl
  • Upload date:
  • Size: 4.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.13

File hashes

Hashes for hmo-0.7.7-py3-none-any.whl
Algorithm Hash digest
SHA256 41aec191faf26d545adccbc1fd12cc803996d65bb6da208181eaf17b30f31805
MD5 a2fdd632dc85c11cb101830c497a64c4
BLAKE2b-256 ab5e16a3d2aeca8a120b13a29f90704c706f632bc121266a76cba22334d65026

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