Nanoscale modification of WS$_2$ trion emission by its local electromagnetic environment
No\'emie Bonnet, Hae Yeon Lee, Fuhui Shao, Steffi Y. Woo, Jean-Denis, Blazit, Kenji Watanabe, Takashi Taniguchi, Alberto Zobelli, Odile St\'ephan,, Mathieu Kociak, Silvija Gradecak-Garaj, Luiz H. G. Tizei

TL;DR
This study uses nanometer-resolved electron spectroscopy to directly correlate local structural and chemical modifications in WS$_2$ monolayers with their optical emission properties, revealing how nanoscale dielectric patches and charge accumulation influence trion emission.
Contribution
It introduces a method combining electron energy loss spectroscopy and cathodoluminescence to spatially correlate optical responses with nanoscale structural and chemical features in transition metal dichalcogenide monolayers.
Findings
Local dielectric patches modulate trion emission but not exciton emission.
Charge accumulation regions enhance trion emission.
Point defects may be involved in localized exciton formation.
Abstract
Structural, electronic, and chemical nanoscale modifications of transition metal dichalcogenide monolayers alter their optical properties, including the generation of single photon emitters. A key missing element for complete control is a direct spatial correlation of optical response to nanoscale modifications, due to the large gap in spatial resolution between optical spectroscopy and nanometer resolved techniques, such as transmission electron microscopy or scanning tunneling microscopy. Here, we bridge this gap by obtaining nanometer resolved optical properties using electron spectroscopy, specifically electron energy loss spectroscopy (EELS) for absorption and cathodoluminescence (CL) for emission, which were directly correlated to chemical and structural information. In an h-BN/WS/h-BN heterostructure, we observe local modulation of the trion (X) emission due to tens of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
