Work Description

Title: Data and Code Investigating the Dimensional Dependence of Molecular-Polariton Mode Number Open Access Deposited

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Methodology
  • The dataset was generated with the included code, randomizing positions/energies of the molecules coupled to a simple model of a cavity. Other code numerically integrates over a simulated cavity dispersion.
Description
  • The included python scripts and Jupyter notebook generate and analyze the data.
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Creator ORCID iD
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Contact information
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Funding agency
  • National Science Foundation (NSF)
  • Other Funding Agency
Other Funding agency
  • Gordon and Betty Moore Foundation
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Citations to related material
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Last modified
  • 02/28/2025
Published
  • 02/28/2025
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DOI
  • https://doi.org/10.7302/0d2w-mb79
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To Cite this Work:
Lydick, N., Deng, H. (2025). Data and Code Investigating the Dimensional Dependence of Molecular-Polariton Mode Number [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/0d2w-mb79

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Files (Count: 9; Size: 2.73 MB)

Data and Code Investigating the Dimensional Dependence of Molecular-Polariton Mode Number

This work contains the data and code that supports our findings in the paper
"Dimensional dependence of a molecular-polariton mode number".

The dataset was generated with the included code, randomizing positions/energies of the molecules
coupled to a simple model of a cavity. Molecules are assumed to be much smaller than the cavity
wavelength, and the coupling to be proportional to the cavity electric field. Other code numerically
integrates over a simulated cavity dispersion. Polariton modes are obtained by solving for the
eigenvalues of the coupled system. A summary of what each file does is provided below.

Files

  • figure1-cavities.py
    • Produces a schematic overview of the cavity setups, polariton dispersion, and transition state theory model. Arrow3D.py contains the code used to plot the arrows in the 3D plots.
  • data-energy-disorder.py, data-position-disorder.py
    • Generates the plot-energy-disorder-v3.npz and plot-position-disorder-v2.npz datasets based on a simple simulation of a set of molecules within a cavity with disorder in their mode energies or the molecular positions respectively.
  • plot-energy-disorder-v3.npz, plot-position-disorder-v2.npz
    • Stores the random values that were used and the results for plotting.
  • figure2-disorder.py
    • Plots the energy and position disorder figures from the data stored in the npz files.
  • Figures 3-5.ipynb
    • Calculations for the remaining figures.

Dependencies

Beyond Python 3 and Jupyter Notebook, the code requires numpy, scipy, sympy, mpmath, and matplotlib.
Portions of the code are accelerated with cupy when possible.

To Cite

Paper: N. Lydick, J. Hu, and H. Deng, "Dimensional dependence of a molecular-polariton mode number," J. Opt. Soc. Am. B 41, C247-C253 (2024). https://doi.org/10.1364/JOSAB.524026

Dataset: N. Lydick and H. Deng, “Data and code investigating the dimensional dependence of molecular-polariton mode number,” University of Michigan - Deep Blue Data (2024). https://doi.org/10.7302/0d2w-mb79

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