Abstract
In this paper, we introduce the quantum mechanical approach as a more physically-realistic model to accurately quantify the electron-photon interaction in Photon-induced near-field electron microscopy (PINEM). Further, we compare the maximum coupling speed between the electrons and the photons in the quantum and classical regime. For a nanosphere of radius 2.13 nm, full quantum calculations show that the maximum coupling between photon and electron occurs at a slower speed than classical calculations report. In addition, a significant reduction in PINEM field intensity is observed for the full quantum model. Furthermore, we discuss the size limitation for particles imaged using the PIMEN technique and the role of the background material in improving the PINEM intensity. We further report a significant reduction in PINEM intensity in nearly touching plasmonic particles (0.3 nm gap) due to tunneling effect.
Highlights
The heart of Photon-induced near-field electron microscopy (PINEM) technique is the electron-photon interactions, which are forbidden in free space due to the mismatch in momentum[3,7]
Recent optical experiments on two plasmonic nanoparticles separated by a few subnanometer completely deviate from classical predictions[19]
Many research efforts have been recently paid to introduce new Quantum Corrected Models (QCM)[15,19,23] which could modify any classical electromagnetic framework to take into account such photoinduced tunnel current between the two plasmonic nanoparticles separated by a few subnanometer gaps but with incomparable computational efforts
Summary
The heart of PINEM technique is the electron-photon interactions, which are forbidden in free space due to the mismatch in momentum[3,7]. Many research efforts have been recently paid to introduce new Quantum Corrected Models (QCM)[15,19,23] which could modify any classical electromagnetic framework to take into account such photoinduced tunnel current between the two plasmonic nanoparticles separated by a few subnanometer gaps but with incomparable computational efforts.
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