DragonBall: A Suite for Vibrational Spectroscopy with Classical Trajectories
Giacomo Mandelli1, Antonino Famulari1, Carlo Cavallotti1
1Department of Chemistry, Materials, and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133Milan, Italy.
The Journal of Physical Chemistry. A
|July 20, 2026
Summary
Simulating vibrational spectra requires accounting for anharmonicity. The Dragonball Python suite simplifies the quasi-classical trajectory (QCT) method, streamlining computations from geometry to spectrum.
Area of Science:
- Computational Chemistry
- Spectroscopy
Background:
- Accurately simulating vibrational spectra is crucial for understanding molecular dynamics.
- Anharmonicity in vibrational motions significantly impacts spectral accuracy.
- The quasi-classical trajectory (QCT) method offers a pathway to compute fully anharmonic vibrational spectra.
Purpose of the Study:
- To address the practical challenges of using the quasi-classical trajectory (QCT) method.
- To introduce Dragonball, a Python suite designed to simplify QCT simulations.
- To provide a user-friendly workflow for computing anharmonic vibrational spectra.
Main Methods:
- Development of Dragonball, a modular Python suite.
- Integration of various quantum chemistry software input/output formats.
- Streamlining computational and visualization tools for QCT analysis.
Main Results:
- Dragonball facilitates a seamless QCT simulation workflow.
- The suite guides users from initial geometry to the final vibrational spectrum.
- Reduces the complexity associated with data handling and tool interoperability.
Conclusions:
- Dragonball enhances the accessibility and efficiency of anharmonic vibrational spectral simulations.
- The Python suite simplifies the application of the QCT method for researchers.
- Enables more routine computation of accurate vibrational spectra.
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