In the search of high-temperature superconductivity one option is to focus on increasing the density of electronic states. Here we study both the normal and-wave superconducting state properties of periodically strained graphene, which exhibits approximate flat bands with a high density of states, with the flatness tunable by the strain profile. We generalize earlier results regarding a one-dimensional harmonic strain to arbitrary periodic strain fields, and further extend the results by calculating the superfluid weight and the Berezinskii-Kosterlitz-Thouless (BKT) transition temperatureto determine the true transition point. By numerically solving the self-consistency equation, we find a strongly inhomogeneous superconducting order parameter, similarly to twisted bilayer graphene. In the flat-band regime the order parameter magnitude, critical chemical potential, critical temperature, superfluid weight, and BKT transition temperature are all approximately linear in the interaction strength, which suggests that high-temperature superconductivity might be feasible in this system. We especially show that by using realistic strain strengthscan be made much larger than in twisted bilayer graphene, if using similar interaction strengths. We also calculate properties such as the local density of states that could serve as experimental fingerprints for the presented model.
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http://dx.doi.org/10.1088/1361-648X/ab8b9d | DOI Listing |
Cureus
December 2024
Orthopedic Surgery, OrthoNebraska, Omaha, USA.
Purpose Wrestling injuries in female athletes is an understudied topic. The aim of this study is to characterize the injuries that occur in female wrestlers aged five to 18 who presented to United States (US) emergency departments (ED) from 2014-2023 and compare patterns between youth and adolescent wrestlers. Method This was a retrospective comparative study including female patients aged five to 18 years of age presenting to the ED due to an injury related to their participation in the sport of wrestling.
View Article and Find Full Text PDFNat Nanotechnol
January 2025
Bay Area Center for Electron Microscopy, Songshan Lake Materials Laboratory, Dongguan, China.
Skyrmions can form regular arrangements, so-called skyrmion crystals (SkXs). A mode with multiple wavevectors q then describes the arrangement. While magnetic SkXs, which can emerge in the presence of Dzyaloshinskii-Moriya interaction, are well established, polar skyrmion lattices are still elusive.
View Article and Find Full Text PDFNanotechnology
January 2025
Radiophysics, Tomsk State University, Lenin, 36, Tomsk, Tomsk region, 634050, RUSSIAN FEDERATION.
Structural and photoelectric properties of p-i-n photodiodes based on GeSiSn/Si multiple quantum dots both on Si and silicon-on-insulator (SOI) substrates were investigated. Elastic strained state of grown films was demonstrated by x-ray diffractometry. Annealing of p-i-n structures before the mesa fabrication can improve the ideality factor of current-voltage characteristics.
View Article and Find Full Text PDFNanotechnology
January 2025
Radiophysics, Tomsk State University, Lenin, 36, Tomsk, Tomsk region, 634050, RUSSIAN FEDERATION.
Structural and photoelectric properties of p-i-n photodiodes based on GeSiSn/Si multiple quantum dots both on Si and silicon-on-insulator (SOI) substrates were investigated. Elastic strained state of grown films was demonstrated by x-ray diffractometry. Annealing of p-i-n structures before the mesa fabrication can improve the ideality factor of current-voltage characteristics.
View Article and Find Full Text PDFSmall
January 2025
State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
The behavior of vicinal Si(001) surfaces are a subject of intense research for years, yet the mechanism behind its step modulation remains unresolved. Step B, in particular, can meander randomly or form a periodic zigzag profile, a surface phenomenon that has eluded explanation due to the lack of appropriate simulation tools. Here, a multiscale simulation strategy, enhanced by machine learning potentials are proposed, to investigate this mesoscale behavior.
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