Rostock 2019 – scientific programme

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Q: Fachverband Quantenoptik und Photonik

Q 15: Nano-Optics (Plasmonics)

Q 15.5: Talk

Monday, March 11, 2019, 15:15–15:30, S SR 112 Maschb.

Applying machine learning techniques to reconstruct the wave functions from the near-field spectra — •Fulu Zheng and Alexander Eisfeld — Max Planck Institute for the Physics of Complex Systems, Germany

In molecular aggregates, electronic eigenstates are typically delocalized over many molecules due to inter-molecular excitonic coupling. Knowledge about these states is crucial to understand and interpret the optical and transfer properties of the aggregates. In contrast to traditional far-field spectroscopy, near-field spectroscopy applies an inhomogeneous field to provide insights to the aggregate eigenstates, including those optically inaccessible in far-field spectroscopy. Using an electronmagnetic field generated by a metallic nano-tip, we calculate near-field spectra for molecular aggregates for different tip positions. Machine learning techniques are adopted to reconstruct the eigenstate wave functions from the calculated spectra. For not too large aggregates, we find that the eigenstate wave functions can be nicely reproduced.