🔬 TanabeSugano

A Python-based Eigensolver for Tanabe-Sugano & Energy-Correlation Diagrams

Interactive visualization of d-orbital splitting in transition metal complexes

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📊 Build & Quality

📦 Package Info

📚 Resources

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🚀 Quick Start • ✨ Features • 📖 Documentation • 🎨 Examples • 🤝 Contributing

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📋 Table of Contents

• Overview
• Quick Start
• Features
• Usage
• Examples
• Interactive Diagrams
• Scientific Background
• Contributing
• Citation
• License

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🌟 Overview

TanabeSugano is a comprehensive Python package for calculating and visualizing Tanabe-Sugano and Energy-Correlation diagrams for d²-d⁸ transition metal ions. Based on the pioneering work of Yukito Tanabe and Satoru Sugano, this tool provides both computational accuracy and interactive visualization capabilities.

Why TanabeSugano?

• 🎯 Accurate Calculations - Based on rigorous quantum mechanical principles
• 📊 Beautiful Visualizations - Generate publication-quality diagrams
• 🔄 Interactive Exploration - Explore diagrams with Plotly integration
• 🚀 Easy to Use - Simple CLI and Python API
• 📱 Cloud-Ready - Run in Google Colab or locally

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🚀 Quick Start

Installation

Choose your preferred installation method:

# 📦 Install from PyPI (recommended)
pip install TanabeSugano

# 🔧 Install with interactive plotting support
pip install TanabeSugano[plotly]

# 🌐 Install from GitHub (latest development version)
pip install git+https://github.com/Anselmoo/TanabeSugano.git

Basic Usage

Generate a Tanabe-Sugano diagram in seconds:

# Generate diagram for d6 configuration
tanabesugano -d 6

# Customize parameters
tanabesugano -d 6 -Dq 8000 -B 860 1.0 -C 3850 1.0

🎮 Try it now:

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✨ Features

📊 Visualization Static Plots via Matplotlib Interactive Diagrams via Plotly Export Formats: PNG, HTML, TXT Publication-Ready output quality	⚙️ Calculations Eigen-Energies for all term symbols Customizable Parameters: B, C ratios Slater-Condon Parameters: F², F⁴ Crystal Field Splitting: 10Dq control
🎯 Supported Systems d² through d⁸ configurations Octahedral complexes Atomic term symbols Energy correlations	📤 Export Options Tables via PrettyTable Diagrams as images or HTML Data as text files Interactive HTML exports

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📖 Usage

Command Line Interface

🔧 View all CLI options

tanabesugano --help

usage: __main__.py [-h] [-d D] [-Dq DQ] [-cut CUT] [-B B B] [-C C C] [-n N]
               [-ndisp] [-ntxt] [-slater]

optional arguments:
  -h, --help     show this help message and exit
  -d D           Number of unpaired electrons (default d5)
  -Dq DQ         10Dq crystal field splitting (default 10Dq = 8065 cm-)
  -cut CUT       10Dq crystal field splitting (default 10Dq = 8065 cm-)
  -B B B         Racah Parameter B and the corresponding reduction (default B = 860 cm- * 1.)
  -C C C         Racah Parameter C and the corresponding reduction (default C = 4.477*860 cm- * 1.)
  -n N           Number of roots (default nroots = 500)
  -ndisp         Plot TS-diagram (default = on)
  -ntxt          Save TS-diagram and dd energies (default = on)
  -slater        Using Slater-Condon F2,F4 parameter instead Racah-Parameter B,C (default = off)
  -v, --version  Print version number and exit
  -html          Save TS-diagram and dd energies (default = on)

Python API

from tanabesugano import TanabeSugano

# Create a d6 configuration
ts = TanabeSugano(d=6, Dq=8065, B=860, C=3850)

# Generate and display diagram
ts.plot()

# Export to HTML for interactive use
ts.export_html('d6_diagram.html')

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🎨 Examples

Static Matplotlib Plot

High-quality diagram for d⁶ configuration with B = 860 cm⁻¹ and C = 3850 cm⁻¹:

Figure: Tanabe-Sugano diagram showing energy levels as a function of crystal field strength

Interactive Plotly Visualization

Interactive diagram for d⁶ with Slater-Condon parameters F² = 1065 cm⁻¹ and F⁴ = 5120 cm⁻¹:

Figure: Interactive diagram with hover tooltips and zoom capabilities

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🌐 Interactive Diagrams

✨ NEW: Explore all Tanabe-Sugano diagrams online!

All diagrams (d² through d⁸) are now available on our interactive GitHub Pages site with full Plotly integration:

🔗 View Interactive Diagrams →

No installation required - just click and explore!

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📚 Scientific Background

This implementation is based on the seminal work of Yukito Tanabe and Satoru Sugano:

📄 Original Publications

📖 Paper I: Absorption Spectra of Complex Ions

Authors: Yukito Tanabe, Satoru Sugano
Journal: Journal of the Physical Society of Japan, Vol. 9, pp. 753-766 (1954)
DOI: 10.1143/JPSJ.9.753
Link: https://journals.jps.jp/doi/10.1143/JPSJ.9.753

📖 Paper II: Absorption Spectra of Complex Ions

Authors: Yukito Tanabe, Satoru Sugano
Journal: Journal of the Physical Society of Japan, Vol. 9, pp. 766-779 (1954)
DOI: 10.1143/JPSJ.9.766
Link: https://journals.jps.jp/doi/10.1143/JPSJ.9.766

📖 Paper III: Calculation of Crystalline Field Strength

Authors: Yukito Tanabe, Satoru Sugano
Journal: Journal of the Physical Society of Japan, Vol. 11, pp. 864-877 (1956)
DOI: 10.1143/JPSJ.11.864
Link: https://journals.jps.jp/doi/10.1143/JPSJ.11.864

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🤝 Contributing

We welcome contributions! Whether you're fixing bugs, adding features, or improving documentation, your help is appreciated.

• 📖 Read our Contributing Guide
• 🐛 Report issues on GitHub Issues
• 💡 Suggest features or improvements
• 🔧 Submit pull requests

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📝 Citation

If you use TanabeSugano in your research, please cite:

@software{tanabesugano,
  author       = {Anselm Hahn},
  title        = {TanabeSugano: Python-based Eigensolver for Tanabe-Sugano Diagrams},
  year         = {2024},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.206847682},
  url          = {https://github.com/Anselmoo/TanabeSugano}
}

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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