Correlation-Driven Electron-Hole Asymmetry in Graphene Field Effect Devices

Electron-hole asymmetry is a fundamental property in solids that can determine the nature of quantum phase transitions and the regime of operation for devices. The observation of electron-hole asymmetry in graphene and recently in the phase diagram of bilayer graphene has spurred interest into whether it stems from disorder or from fundamental interactions such as correlations. Here, we report an effective new way to access electron-hole asymmetry in 2D materials by directly measuring the quasiparticle self-energy in graphene/Boron Nitride field effect devices. As the chemical potential moves from the hole to the electron doped side, we see an increased strength of electronic correlations manifested by an increase in the band velocity and inverse quasiparticle lifetime. These results suggest that electronic correlations play an intrinsic role in driving electron hole asymmetry in graphene and provide a new insight for asymmetries in more strongly correlated materials.Comment: 22 pages, 7 figure

Imaging moir\'e flat bands in 3D reconstructed WSe2/WS2 superlattices

Moir\'e superlattices in transition metal dichalcogenide (TMD) heterostructures can host novel correlated quantum phenomena due to the interplay of narrow moir\'e flat bands and strong, long-range Coulomb interactions1-5. However, microscopic knowledge of the atomically-reconstructed moir\'e superlattice and resulting flat bands is still lacking, which is critical for fundamental understanding and control of the correlated moir\'e phenomena. Here we quantitatively study the moir\'e flat bands in three-dimensional (3D) reconstructed WSe2/WS2 moir\'e superlattices by comparing scanning tunneling spectroscopy (STS) of high quality exfoliated TMD heterostructure devices with ab initio simulations of TMD moir\'e superlattices. A strong 3D buckling reconstruction accompanied by large in-plane strain redistribution is identified in our WSe2/WS2 moir\'e heterostructures. STS imaging demonstrates that this results in a remarkably narrow and highly localized K-point moir\'e flat band at the valence band edge of the heterostructure. A series of moir\'e flat bands are observed at different energies that exhibit varying degrees of localization. Our observations contradict previous simplified theoretical models but agree quantitatively with ab initio simulations that fully capture the 3D structural reconstruction. Here the strain redistribution and 3D buckling dominate the effective moir\'e potential and result in moir\'e flat bands at the Brillouin zone K points

Basic Science Fully Automatic Three-Dimensional Quantitative Analysis of Intracoronary Optical Coherence Tomography: Method and Validation

Objectives and background: Quantitative analysis of intracoronary optical coherence tomography (OCT) image data (QOCT) is currently performed by a time-consuming manual contour tracing process in individual OCT images acquired during a pullback procedure (frame-based method). To get an efficient quantitative analysis process, we developed a fully automatic three-dimensional (3D) lumen contour detection method and evaluated the results against those derived by expert human observers. Methods: The method was developed using Matlab (The Mathworks, Natick, MA). It incorporates a graphical user interface for contour display and, in the selected cases where this might be necessary, editing. OCT image data of 20 randomly selected patients, acquired with a commercially available system (Lightlab imaging, Westford, MA), were pulled from our OCT database for validation. Results: A total of 4,137 OCT images were analyzed. There was no statistically significant difference in mean lumen areas between the two methods (5.03 6 2.16 vs. 5.02 6 2.21 mm 2 ; P 5 0.6, human vs. automated). Regression analysis showed a good correlation with an r value of 0.99. The method requires an average 2-5 sec calculation time per OCT image. In 3% of the detected contours an observer correction was necessary. Conclusion: Fully automatic lumen contour detection in OCT images is feasible with only a select few contours showing an artifact (3%) that can be easily corrected. This QOCT method may be a valuable tool for future coronary imaging studies incorporating OCT

Automated three-dimensional detection of intracoronary stent struts in optical coherence tomography images

Optical coherence tomography (OCT) is a new intracoronary imaging tool that has been recently introduced and has become the method of choice to investigate new treatment methods for coronary artery disease. Due to the OCT's high image resolution, hundreds of stent struts are visualized per patient and therefore a computer-assisted stent strut detection method could help to improve accuracy by reducing analysis time. An automated strut detection algorithm was developed based on an adapted K-nearest neighbor method. Validation in stent just implanted resulted in a success rate of 77%. In a stent follow-up group (n=14) 6 months after implantation with tissue growth a success rate of 50% was observed. Computer-assisted stent strut detection in OCT images is well feasible in patients directly after implantation; in case of considerable tissue growth it is more challenging