Searcharxiv⌕ Search

arXiv · cond-mat/0003396

Comparison of flux creep an nonlinear E-j approach for analysis of vortex motion in superconductors

Abstract

Two commonly accepted approaches for simulations of thermally-activated vortex motion in superconductors are compared. These are (i) the so-called flux creep approach based on the expression E=vB relating the electric field E to the velocity v of the thermally-activated flux motion and the local flux density B, and (ii) the approach employing a phenomenological nonlinear current-voltage curve, E(j). Our results show that the two approaches give similar but also distinctly different behaviors for the distributions of current and flux density in both a long slab and thin strip geometry. The differences are most pronounced where the local B is small. Magneto-optical imaging of a YBaCuO thin film carrying a transport current was performed to compare the simulations with experimental behavior. It is shown that the flux creep approach describes the experiments far better than simulations based on the E(j) approach.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

D. V. Shantsev, A. V. Bobyl, Y. M. Galperin, T. H. Johansen. 2000-03-24. Comparison of flux creep an nonlinear E-j approach for analysis of vortex motion in superconductors. https://arxiv.org/abs/cond-mat/0003396

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Thermodynamic Phase Diagrams in $λ$-(BETS)$_2$GaBr$_x$Cl$_{4-x}$ under Physical and Chemical Pressure

The evolution of electron correlation in the superconducting state of the mixed-crystal series $λ$-(BETS)$_2$GaBr$_x$Cl$_{4-x}$ was investigated by magnetic and transport measurements. Br concentrations evaluated by electron-probe microanalysis agree well with single-crystal X-ray diffraction refinement. Demagnetization-corrected susceptibility and magnetization of crystals with $x_{c(rf)}$ = 0.22, 0.24, 0.42, and 0.63 all show a diamagnetic superconducting transition. The lower critical field $H_{c1}$, determined from the deviation from the Meissner response, shows a dome-like maximum at $x_{c(rf)}$ = 0.24. The upper critical field $H_{c2}$, obtained from the first high-field magnetoresistance measurements in this system, decreases with increasing Br concentration up to $x_{c(rf)}$ = 0.42, establishing the high-field superconducting boundary on the chemical-pressure side. Combining these results with reported transport data under chemical and physical pressure, we propose a pressure-temperature phase diagram for $λ$-(BETS)$_2$GaCl$_4$. Its double-dome-like structure has a local minimum near x = 0, where a quantum-critical point was proposed at P $\approx$ 0.13 GPa, separating a low-pressure regime of superconductivity coexisting with magnetism and an unconventional metallic state from a higher-pressure regime with conventional metallic behavior. A low-temperature resistivity upturn, previously reported only under physical pressure, is also found under chemical pressure, suggesting that spin-density-wave fluctuations may extend continuously across both pressure axes. The phase diagram overlaps with that of $λ$-(STF)$_2$GaCl$_4$ under physical pressure, indicating that chemical substitution, external pressure, and molecular substitution can be unified in a single bandwidth-controlled phase diagram for $λ$-type molecular superconductors.

cond-mat.supr-con↗

Sparse Statistical Modeling in Condensed Matter Physics

In this work we explore the possibility of using sparse statistical modeling in condensed matter physics. The procedure is employed to two well known problems: elemental superconductors and heavy fermions, and was shown that in most cases performs better than other AI methods, such as machine or deep learning. More importantly, sparse modeling has two major advantages over other methods: the ability to deal with small data sets and in particular its interpretabilty. Namely, sparse modeling can provide insight into the calculation process and allow the users to give physical interpretation of their results. We argue that many other problems in condensed matter physics would benefit from these properties of sparse statistical modeling.

cond-mat.supr-con↗

Layer-Parity Control of the Superconducting Diode Effect in Monolayer NbSe$_2$

The superconducting diode effect is often associated with finite-momentum pairing, although model studies indicate that rectification reflects the asymmetry of the free energy about its minimum rather than the equilibrium pair momentum itself. Using a Wannier-based, self-consistent finite-$\mathbf Q$ Bogoliubov-de Gennes approach with a Fermi-surface-adaptive quadrature that converges the critical currents, we show that the layer parity and orientation of magnetic proximity select the diode response of monolayer NbSe$_2$. For in-plane exchange, the equilibrium pair momentum $\mathbf Q_{\rm eq}$ and the diode efficiency are both linear in the layer-odd exchange contrast: parallel proximity on the two Se sublayers is reciprocal, and antiparallel proximity doubles the response. An out-of-plane component separates the two observables. It leaves $\mathbf Q_{\rm eq}$ nearly unchanged but, through pair breaking, suppresses the efficiency by more than an order of magnitude and, at low temperature, reverses it. Purely out-of-plane exchange, for which $C_3$ symmetry forbids a helical term, keeps $\mathbf Q_{\rm eq}=0$ yet produces a trigonal diode effect, controlled by the layer-even exchange and larger than the in-plane one above $0.65$~meV at $0.58$~K. Magnetic layer parity thus selects between a helical and a trigonal diode channel. This trigonal channel provides a candidate intrinsic contribution to the field-free rectification reported in NbSe$_2$/CrBr$_3$. The model predicts that two-sided out-of-plane proximity cancels it when antiparallel and, at the same exchange per layer, enhances it about fourfold when parallel, in the computed range.

cond-mat.supr-con↗