Version 2 2024-11-11, 16:47Version 2 2024-11-11, 16:47
Version 1 2024-11-06, 15:23Version 1 2024-11-06, 15:23
journal contribution
posted on 2024-11-11, 16:47authored byJaeyeon Jo, Jinseok Ryu, Ji-Hyeok Huh, Hyeohn Kim, Da Hye Seo, Jaewon Lee, Min Kwon, Seungwoo Lee, Ki Tae Nam, Miyoung Kim
Characterizing the spatial distribution of the electromagnetic
fields of a plasmonic nanoparticle is crucial for exploiting its strong
light–matter interaction for optoelectronic and catalytic applications.
However, observing the near-fields in three dimensions with a high
spatial resolution is still challenging. To realize efficient three-dimensional
(3D) nanoscale mapping of the plasmonic fields of nanoparticles with
complex shapes, this work established autoencoder-embedded electron
energy loss spectroscopy (EELS) tomography. A 432-symmetric chiral
gold nanoparticle, a nanoparticle with a high optical dissymmetry
factor, was analyzed to relate its geometrical features to its exotic
optical properties. Our deep-learning-based feature extraction method
discriminated plasmons with different energies in the EEL spectra
of the nanoparticle in which signals from multiple plasmons were intermixed;
this component was key for acceptable 3D visualization of each plasmonic
field separately using EELS tomography. With this methodology, the
electric field of the plasmon that induces far-field circular dichroism
was observed in 3D. The field linked to this chiroptical property
was strong along the swirling edges of the particle, as predicted
by a numerical calculation. This study provides insight into the correlation
between structural and optical chiralities through direct 3D observation
of the plasmonic fields. Furthermore, the strategy of implementing
an autoencoder for EELS tomography can be generalized to achieve competent
3D analysis of other features, including the optical properties of
the dielectrics and chemical states.