Unveiling Unequivocal Charge Stripe Order in a Prototypical Cuprate Superconductor

Choi, Jaewon; Wang, Qisi; Jöhr, S.; Christensen, Niels Bech; Küspert, Julia; Bucher, Damian; Biscette, Dominik; Fischer, Mark H.; Hücker, M.; Kurosawa, T.; Momono, N.; Oda, Masahiro; Ivashko, Oleh; Zimmermann, M. v.; Janoschek, M.; Chang, J.

doi:10.1103/physrevlett.128.207002

Cited by 23 publications

(20 citation statements)

References 43 publications

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“…Finally, this strongly reduced sample size (for comparison, a 1.06 g sample from the same batch was used for ambient pressure measurements. See Methods section), enabled the use of a scaled-up version of a uniaxial pressure cell, which we recently developed for x-ray studies of CDW order 19,24 , without compromising uniaxial pressure application (see Fig. 1b).…”

Section: Resultsmentioning

confidence: 99%

“…Our observation that the application of uniaxial strain causes domain repopulation reflected in the peak intensity without altering the other characteristics of the magnetic order, demonstrates that SDW and CDW order in La 1:88 Sr 0:12 CuO 4 can be tuned by uniaxial pressure in an identical manner. Recent x-ray scattering results have shown that small uniaxial strain along the Cu-O bond direction also yields a suppression of the intensity of the CDW ordering vector along the direction of the applied pressure, and that its intensity is recovered upon strain release 19 . Together with our neutron scattering study these results strongly suggest an intertwined CDW and SDW order.…”

Section: Discussionmentioning

confidence: 99%

“…To address this issue for La 1:88 Sr 0:12 CuO 4 , we leverage uniaxial pressure applied along the Cu-O bond direction as a newlyestablished extrinsic tuning parameter. Here recent x-ray experiments 19 have demonstrated that one of the CDW domains can be suppressed through uniaxial strain. For the case of truly coupled CDW and SDW orders, we similarly expect to observe that uniaxial pressure generates a single-domain stripe SDW order (see Fig.…”

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confidence: 98%

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Single-domain stripe order in a high-temperature superconductor

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The coupling of spin, charge and lattice degrees of freedom results in the emergence of novel states of matter across many classes of strongly correlated electron materials. A model example is unconventional superconductivity, which is widely believed to arise from the coupling of electrons via spin excitations. In cuprate high-temperature superconductors, the interplay of charge and spin degrees of freedom is also reflected in a zoo of charge and spin-density wave orders that are intertwined with superconductivity. A key question is whether the different types of density waves merely coexist or are indeed directly coupled. Here we profit from a neutron scattering technique with superior beam-focusing that allows us to probe the subtle spin-density wave order in the prototypical high-temperature superconductor La$${}_{1.88}$$ 1.88 Sr$${}_{0.12}$$ 0.12 CuO$${}_{4}$$ 4 under applied uniaxial pressure to demonstrate that the two density waves respond to the external tuning parameter in the same manner. Our result shows that suitable models for high-temperature superconductivity must equally account for charge and spin degrees of freedom via uniaxial charge-spin stripe fluctuations.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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confidence: 98%

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Single-domain stripe order in a high-temperature superconductor

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“…In fact, unconventional superconductivity has often been discovered in the vicinity of magnetic quantum instabilities surrounded by a host of competing electronic phases. [28] There has been a similar discussion about the origin of superconductivity in Ca 2 RuO 4 , a possible superconductor that is also a weak FM. 4 Therefore, further theoretical and experimental investigations will be indispensable to reveal the overall characteristics of this possible new superconductor, LSMIO.…”

Section: Full Textmentioning

confidence: 88%

Possible high-Tc superconductivity exceeding 100 K in Ir-substituted perovskite-type manganese oxides

Matsumoto

Kaminaga

Suzuki

et al. 2022

Preprint

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The search for new high-Tc superconductors has commonly focused on layered perovskite compounds with isoelectronic or isostructural properties similar to those of cuprates.1, 2 For example, in 2019, a family of 3d nickel-based superconductors (Nd, Sr)NiO2 was discovered by Hwang et al.3More recently, Ca2RuO4, a 4d transition metal oxide, received attention as a superconductor with Tc = 64 K in coexistence with ferromagnetism in nanofilm single crystals.4 Even the 5d transition metal oxide Sr2IrO4 was thoroughly studied as a possible high-Tc superconductor.5 While no zero-resistance state has yet been observed, surface-electron-doped Sr2IrO4 has shown a spectroscopic signature consistent with a superconducting gap.6 However, despite such intensive exploration of analogous structures, no materials other than cuprates or single-layer FeSe/SrTiO3 [Ref. 7] have been reported to exhibit high-Tc superconductivity above 100 K under ambient pressure. In this study, we report observations of possible new high-Tc superconductivity in a non-layered perovskite, Ir-substituted (La, Sr)MnO3 (LSMIO) thin films. LSMIO samples with Ir compositions of approximately 10% were confirmed to exhibit the zero-resistance state with onset temperatures exceeding 100 K. Furthermore, their magnetic field response was observed to be characteristic of conventional superconductors. All these results strongly indicated that LSMIO showed the most promise as a new high-Tc superconductor among perovskite oxides. The present discovery will boost interest in new theoretical frameworks for unconventional but possible superconductivity in LSMIO, opening a frontier for research on high-Tc superconductors.

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“…The CDW order is characterized by correlation lengths ξ. From the high-count data (and from earlier literature), the correlation lengths were found to be ξ a ≈ 50 Å and ξ c = 6 Å [16,25]. Along the b-axis (reciprocal k-axis), The first column indicates the used training and evaluation methodology.…”

Section: Discussionmentioning

confidence: 99%

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data

Oppliger

Denner

Küspert

et al. 2022

Preprint

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Removal or cancellation of noise has wide-spread applications for imaging and acoustics. In every-day-life applications, denoising may even include generative aspects which are unfaithful to the ground truth. For scientific applications, however, denoising must reproduce the ground truth accurately. Here, we show how data can be denoised via a deep convolutional neural network such that weak signals appear with quantitative accuracy. In particular, we study X-ray diffraction on crystalline materials. We demonstrate that weak signals stemming from charge ordering, insignificant in the noisy data, become visible and accurate in the denoised data. This success is enabled by supervised training of a deep neural network with pairs of measured low- and high-noise data. This way, the neural network learns about the statistical properties of the noise. We demonstrate that using artificial noise (such as Poisson and Gaussian) does not yield such quantitatively accurate results. Our approach thus illustrates a practical strategy for noise filtering that can be applied to challenging acquisition problems.

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Unveiling Unequivocal Charge Stripe Order in a Prototypical Cuprate Superconductor

Cited by 23 publications

References 43 publications

Single-domain stripe order in a high-temperature superconductor

Single-domain stripe order in a high-temperature superconductor

Possible high-Tc superconductivity exceeding 100 K in Ir-substituted perovskite-type manganese oxides

Weak-signal extraction enabled by deep-neural-network denoising of diffraction data

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