| Literature DB >> 35288555 |
Menghan Liao1, Yuying Zhu2, Shuxu Hu1, Ruidan Zhong3, John Schneeloch3,4, Genda Gu3, Ding Zhang5,6,7,8, Qi-Kun Xue9,10,11,12.
Abstract
Understanding the rich and competing electronic orders in cuprate superconductors may provide important insight into the mechanism of high-temperature superconductivity. Here, by measuring Bi2Sr2CaCu2O8+x in the extremely underdoped regime, we obtain evidence for a distinct type of ordering, which manifests itself as resistance oscillations at low magnetic fields (≤10 T) and at temperatures around the superconducting transition. By tuning the doping level p continuously, we reveal that these low-field oscillations occur only when p < 0.1. The oscillation amplitude increases with decreasing p but the oscillation period stays almost constant. We show that these low-field oscillations can be well described by assuming a periodic superconducting structure with a mesh size of about 50 nm. Such a charge order, which is distinctly different from the well-established charge density wave and pair density wave, seems to be an unexpected piece of the puzzle on the correlated physics in cuprates.Entities:
Year: 2022 PMID: 35288555 PMCID: PMC8921203 DOI: 10.1038/s41467-022-28954-w
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Fig. 1Resistance oscillations in underdoped Bi-2212.
a False-color scanning electron microscopy image of sample S1. The Bi-2212 flake (electrode) is highlighted in blue (yellow). The substrate is a solid ion conductor containing lithium ions. The inset illustrates the gating configuration. b Main panel: temperature dependent resistances of S1 at sequentially gated states. Right panels: gating voltages () and estimated gating time periods () for each sequence. includes the complete course of gating at three stages: warming up from 280 K to 300 K; staying at 300 K; cooling down from 300 K to 280 K. is applied throughout the above-mentioned course of time. c Sheet resistance of S1 in an underdoped state (S1-#5) as a function of magnetic field at a selected set of temperatures (from 2 to 10 K in steps of 1 K). We estimate the doping level by using the experimentally measured and the formula: . d Color plot of the background subtracted resistance of S1-#5. Bright and dark stripes in the magnetic field range from −1 to 1T (dashed vertical lines) are artefacts from over-smoothening. Data outside this region is not affected. White dashed curve indicates the line where the resistance reaches 10% of the normal state resistance (zero-field resistance value at 87 K). It represents the phase boundary between the vortex solid (vs) and the vortex liquid. White dotted curve is a guide to the eye, illustrating the expected temperature dependence of the upper critical fields. e Fast Fourier transform (FFT) of the resistance traces at different temperatures in d. The dotted line with the number marks the peak position in FFT. f Angular dependent study of the magneto-resistance of S2 as a function of the perpendicular magnetic field. The angle is between the total magnetic field and the normal to the sample plane (inset). It increases from 0° to 70° in steps of 10° and from 75° to 85° in steps of 5°. Curves are vertically offset for clarity.
Fig. 2Doping dependence of the magneto resistance and the oscillations.
a1–a6 Color-coded resistance of sample S3 as a function of magnetic field and temperature . The white stripe demarcates the boundary between the superconducting (SC) region and the normal state. b1–b6 Background subtracted resistance as a function of magnetic field and temperature: The oscillation amplitude increases with decreasing doping. c1–c6 FFT of at different temperatures. Vertical dotted lines with numbers indicate the peak positions. Each column of this figure corresponds to the same doping level indicated on the top.
Fig. 3Phase diagram of the Little-Parks like resistance oscillations in Bi-2212.
Each symbol represents a fixed set of temperature and doping at which the magnetoresistance measurement was carried out. Filled (empty) symbols indicate that resistance oscillations—RO—were present (absent). Exemplary traces are shown in the inset boxes. Overlapping data points at p=0.055, 0.064, 0.07 and 0.075 are slightly shifted horizontally for better presentation. In the low temperature regime where resistance oscillations occurred, the actual measurements were taken with denser sets of temperature points (with steps of K) than represented here ( K). Gray shadows and dashed curve indicate the typical phases: anti-ferromagnetism (AF), charge order (CO), pseudo-gap (PG), and superconductivity (SC). Here data points marked as S1 and S4 are from the same flake but with two different pairs of contacts in two separate regions. S5 is a 1-UC Bi-2212 flake that is in the underdoped regime after exfoliation. Yellow shadow highlights the region where RO can be experimentally observed.
Comparison between the resistance oscillations of this work and the previously reported low-field oscillations in transport.
| Previous studies | This study | |
|---|---|---|
| Superconducting nano-bridge[ | Sample width | Sample width |
| Superconducting strip[ | Isotropic | Anisotropic (2D) |
| Δ | Δ | |
| Nernst effect in Bi-2212[ | OP-Bi2212: yes UD-Bi2212: no | OP-Bi2212: no UD-Bi2212: yes |
| Little-Parks oscillations in TiSe2[ | ||
Fig. 4Quantitative analysis of the Little-Parks like resistance oscillations.
a Extracted spatial period as a function of doping for different samples. Inset schematically illustrates the Little-Parks effect and the vortex effect in a periodic superconducting array. The colored mesh indicates the superconducting region. The empty squares indicate the non-superconducting region. b Penetration depth extracted by fitting the temperature dependent oscillation amplitude. c oscillation amplitude as a function of temperature at different doping levels for sample S3. They are obtained by calculating the absolute difference between the local and nearest-neighboring maximum and minimum in the traces ([1,4] T) at each and . Dashed curves are the expected oscillation amplitudes according to the Little-Parks effect. Solid curves are the theoretical fits by taking into account the vortex effect [Eq. (1)]. Data points and curves are vertically offset by 0.05 for clarity. d same data sets as shown in c but normalized by the normal state resistance . They are vertically offset by 0.1 for clarity.