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Molecular monolayers exhibit different optical properties based on their arrangement (polymorphs). This study computationally explores how these polymorphs impact optical absorption spectra, revealing significant differences in excitation energy.

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Area of Science:

  • Surface Science
  • Computational Chemistry
  • Spectroscopy

Background:

  • Molecular monolayers can form various ordered structures called polymorphs on substrates.
  • Polymorphs exhibit different optical properties due to variations in intermolecular coupling and transition dipole moments.
  • These variations influence transition energies and oscillator strengths, affecting optical absorption spectra.

Purpose of the Study:

  • To computationally investigate the impact of molecular monolayer polymorphism on optical absorption spectra.
  • To systematically analyze factors influencing optical properties, including geometric distortions, intermolecular interactions, and symmetry variations.
  • To predict and calculate optical properties for specific molecular systems and their polymorphs.

Main Methods:

  • Utilizing a combination of machine-learning-assisted structure search and density functional theory (DFT).
  • Systematically detailing geometric distortions upon adsorption and transition dipole moment interactions.
  • Applying the random phase approximation (RPA) for optical property calculations.

Main Results:

  • Identified two distinct polymorphs for 2-nitro-pyrene-7-amine on NaCl(100).
  • Calculated optical absorption spectra for these polymorphs.
  • Observed a significant difference of approximately 0.2 eV in the lowest excitation energy between the two polymorphs.

Conclusions:

  • Molecular polymorphism significantly impacts the optical absorption spectra of organic monolayers.
  • Computational methods, including ML-assisted search and DFT, are effective for predicting polymorphs and their optical properties.
  • Understanding polymorphism is crucial for designing materials with tailored optical functionalities.