Programmable nanowrinkle-induced room-temperature exciton localization in monolayer WSe 2 .
Emanuil S YanevThomas P DarlingtonSophia A LadyzhetsMatthew C StrasbourgChiara TrovatelloSong LiuDaniel A RhodesKobi HallAditya SinhaNicholas J BorysJames C HoneP James SchuckPublished in: Nature communications (2024)
Localized states in two-dimensional (2D) transition metal dichalcogenides (TMDCs) have been the subject of intense study, driven by potential applications in quantum information science. Despite the rapidly growing knowledge surrounding these emitters, their microscopic nature is still not fully understood, limiting their production and application. Motivated by this challenge, and by recent theoretical and experimental evidence showing that nanowrinkles generate strain-localized room-temperature emitters, we demonstrate a method to intentionally induce wrinkles with collections of stressors, showing that long-range wrinkle direction and position are controllable with patterned array design. Nano-photoluminescence (nano-PL) imaging combined with detailed strain modeling based on measured wrinkle topography establishes a correlation between wrinkle properties, particularly shear strain, and localized exciton emission. Beyond the array-induced wrinkles, nano-PL spatial maps further reveal that the strain environment around individual stressors is heterogeneous due to the presence of fine wrinkles that are less deterministic. At cryogenic temperatures, antibunched emission is observed, confirming that the nanocone-induced strain is sufficiently large for the formation of quantum emitters. At 300 K, detailed nanoscale hyperspectral images uncover a wide range of low-energy emission peaks originating from the fine wrinkles, and show that the states can be tightly confined to regions <10 nm, even in ambient conditions. These results establish a promising potential route towards realizing room temperature quantum emission in 2D TMDC systems.
Keyphrases
- room temperature
- ionic liquid
- high glucose
- air pollution
- diabetic rats
- energy transfer
- high resolution
- molecular dynamics
- drug induced
- public health
- transition metal
- quantum dots
- machine learning
- photodynamic therapy
- oxidative stress
- deep learning
- light emitting
- mass spectrometry
- dna methylation
- optical coherence tomography
- convolutional neural network
- high density