Superconductivity in dilute SrTiO<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1211" altimg="si13.svg"><mml:msub><mml:mrow/><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:math>: A review

Gastiasoro, Maria N.; Ruhman, Jonathan; Fernandes, Rafael M.

doi:10.1016/j.aop.2020.168107

Cited by 129 publications

(69 citation statements)

References 134 publications

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“…Superconductivity in doped SrTiO 3 has received extensive attention for a long time [46,63]. One of the reasons is that the superconductivity starts to emerge at an extraordinarily low carrier density on the order of 10 17 cm −3 [64,65], where the conventional Migdal-Eliashberg theory is not applicable.…”

Section: A Srtiomentioning

confidence: 99%

“…A recently developed cluster multipole theory [20,21], which systematically characterizes a magnetic structure over atoms as a magnetic multipole, has elucidated that coplanar antiferromagnets Mn 3 Z (Z = Sn, Ge) possess a magnetic octupole order corresponding to Eq. (46). Although Mn 3 Z is a magnetic metal, we may consider a hypothetical superconducting transition which can be realized by carrier doping or applying pressure, etc.…”

Section: Magnetic Multipole Systemsmentioning

confidence: 99%

“…For example, an electric quadrupole order may be closely related to superconductivity in PrTr 2 Al 20 (Tr= Ti, V) [29][30][31][32][33][34] and PrIr 2 Zn 20 [39,40]; an electric hexadecapole [35,36] or a magnetic dotriacontapole order [37] in URu 2 Si 2 and various multipoles in PrOs 4 Sb 12 [38] have also been intensively discussed. Another topic is odd-parity multipoles; recent theoretical studies have pointed out that odd-parity multipoles invoke unconventional superconductivity not only in the coexisting state [18,19,41,42] but also in the disordered state due to the multipole fluctuations [43][44][45][46][47][48].…”

Section: Introductionmentioning

confidence: 99%

“…When there exist more than one solution for a multipole fluctuation, they are listed in descending order of T c . "MO" in (b) and "EQ" in (c) represent the momentum-based magnetic octupole [Eq (46)(47)…”

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confidence: 99%

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Superconductivity induced by fluctuations of momentum-based multipoles

Sumita

Yanase

2020

Phys. Rev. Research

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Recent studies of unconventional superconductivity have focused on charge or spin fluctuation, instead of electron-phonon coupling, as an origin of attractive interaction between electrons. On the other hand, a multipole order, which represents electrons' degrees of freedom in strongly correlated and spin-orbitcoupled systems, has recently been attracting much attention. Stimulated by this background, we investigate multipole-fluctuation-mediated superconductivity, which proposes a new pairing mechanism of unconventional superconductivity. Indeed, previous works have shown spin-triplet superconductivity induced by fluctuations of odd-parity electric multipole orders in isotropic systems. In this study, we establish a general formulation of the multipole-fluctuation-mediated superconductivity for all multipole symmetries, in both isotropic and crystalline systems. As a result, we reveal various anisotropic pairings induced by odd-parity and/or higher-order multipole fluctuations, which are beyond the ordinary charge or spin fluctuations. Topological superconductivity due to the mechanism is also discussed. Based on the obtained results, we discuss unconventional superconductivity in doped SrTiO 3 , PrTi 2 Al 20 , Li 2 (Pd, Pt) 3 B, and magnetic multipole metals.

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Section: A Srtiomentioning

confidence: 99%

Section: Magnetic Multipole Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Superconductivity induced by fluctuations of momentum-based multipoles

Sumita

Yanase

2020

Phys. Rev. Research

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“…The SIT manifests a dramatic change in the ground state of the system from superconducting (zero resistance) to insulator (infinite resistance) often occurring in a small parameter range. The resulting phase diagram bears similarities to cuprates and interface superconductors, which also show zero temperature phase transitions between insulating and superconducting phases [4][5][6][7][8][9]. In those systems, the tuning parameter is chemical or electrical doping [7,10,11].…”

Section: Introductionmentioning

confidence: 99%

Superconductivity in a disordered metal with Coulomb interactions

Postolova

Mironov

Barrena

et al. 2020

Phys. Rev. Research

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We study electronic densities of states (DOS) of strongly disordered superconducting thin films of TiN. We find through scanning tunneling microscopy (STM) measurements that the DOS decreases towards the Fermi level in the normal phase obtained by applying magnetic fields. The DOS shows spatial fluctuations whose length scale is related to the energy-dependent decrease in the DOS close to the Fermi level and is similar in normal and superconducting phases. This shows that Coulomb interaction in disordered metals strongly influences the normal DOS and suggests that reduced Coulomb screening leads to spatial variations in the superconducting DOS.

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Variational Convolutional Autoencoders for Anomaly Detection in Scanning Transmission Electron Microscopy

Prifti

Buban

Thind

et al. 2023

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Identifying point defects and other structural anomalies using scanning transmission electron microscopy (STEM) is important to understand a material's properties caused by the disruption of the regular pattern of crystal lattice. Due to improvements in instrumentation stability and electron optics, atomic‐resolution images with a field of view of several hundred nanometers can now be routinely acquired at 1–10 Hz frame rates and such data, which often contain thousands of atomic columns, need to be analyzed. To date, image analysis is performed largely manually, but recent developments in computer vision (CV) and machine learning (ML) now enable automated analysis of atomic structures and associated defects. Here, the authors report on how a Convolutional Variational Autoencoder (CVAE) can be utilized to detect structural anomalies in atomic‐resolution STEM images. Specifically, the training set is limited to perfect crystal images , and the performance of a CVAE in differentiating between single‐crystal bulk data or point defects is demonstrated. It is found that the CVAE can reproduce the perfect crystal data but not the defect input data. The disagreesments between the CVAE‐predicted data for defects allows for a clear and automatic distinction and differentiation of several point defect types.

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Superconductivity in dilute SrTiO3: A review

Cited by 129 publications

References 134 publications

Superconductivity induced by fluctuations of momentum-based multipoles

Superconductivity induced by fluctuations of momentum-based multipoles

Superconductivity in a disordered metal with Coulomb interactions

Variational Convolutional Autoencoders for Anomaly Detection in Scanning Transmission Electron Microscopy

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