849 papers
Superconductivity is a fascinating state of matter where materials conduct electricity without any resistance, often defying our everyday expectations of how energy behaves. Researchers in this field explore the quantum mechanics behind these phenomena, seeking new materials that can operate at higher temperatures or under more practical conditions. This work holds the promise of revolutionizing everything from power grids to medical imaging devices, making the invisible world of quantum physics feel increasingly tangible and useful.
At Gist.Science, we monitor the arXiv database continuously to bring you the very latest preprints in Cond-Mat — Supr-Con as soon as they are posted. For every new submission, we generate both detailed technical summaries for experts and clear, plain-language explanations for curious readers, ensuring that cutting-edge discoveries are accessible to everyone regardless of their background. Below are the latest papers in this dynamic field, ready for you to explore.
By combining density-functional theory with symmetry-constrained modeling, this study reveals that strain-stabilized two-dimensional IrTe hosts a unique multichannel superconducting state where band-selective Rashba and Ising spin-singlet pairings coexist without mixing due to distinct symmetry constraints, despite the material's global inversion symmetry.
The paper proposes and demonstrates through calculations on a bilayer superconductor that the superconducting diode efficiency can be significantly enhanced near a BCS-FFLO phase transition by exploiting current-induced switching between superconducting orders, thereby offering a new method to probe the nature of this transition.
This paper demonstrates that while a variational Ansatz accurately predicts the energy and effective mass of a one-dimensional Fermi polaron, it fails qualitatively in the thermodynamic limit by incorrectly predicting a finite quasi-particle residue and zero charge, whereas exact methods reveal a vanishing residue consistent with Luttinger-liquid physics and a charge that grows from zero to one with increasing coupling.
Through large-scale Monte Carlo simulations of a three-dimensional Ginzburg-Landau model, this study confirms that standard models of nematic superconductors do not support vestigial nematic phases, but demonstrates that such order can emerge under restrictive conditions via gauge-field-mediated intercomponent coupling or strong correlations.
This study reveals that electropolishing, despite producing visually smooth niobium surfaces, introduces microscopic sloped-step defects at grain boundaries that enhance magnetic fields and suppress the superheating limit, thereby compromising the performance of superconducting RF cavities and influencing the efficacy of subsequent impurity-based heat treatments.
This study reports the discovery of ambient-pressure superconductivity in bilayer nickelate films grown on LaAlO3 (001) substrates, which achieve the necessary state with nearly half the compressive strain (-1.2%) previously required on SrLaAlO4 (001), thereby offering a new platform to systematically investigate the superconducting phase diagram and ground state.
This study demonstrates that high-pressure synthesis significantly extends the fluorine substitution range and enhances the superconducting performance of SmFeAsO1-xFx bulk samples, achieving a maximum critical temperature of 57 K and a critical current density of 10^4 A cm^-2 while establishing a dome-shaped phase diagram.
This paper proposes that the superconducting state observed in twisted MoTe is a chiral -wave topological superconductor featuring an emergent double-vortex lattice with half-integer Chern number, providing a unified theoretical framework for understanding the coexistence of fractional quantum anomalous Hall effects and topological superconductivity in twisted semiconductors.
This paper demonstrates that a superconducting quantum circuit utilizing Josephson junctions as a Quantum Reservoir Computing system can accurately classify complex statistical distributions and identify regimes in correlated time series, often outperforming classical methods when data is limited, thereby showcasing the potential of noise-resilient quantum learning on current hardware.
This paper proposes a model of mesoscale superconducting puddles interacting with a metal that generates an extended strange metal regime characterized by -linear resistivity and logarithmic specific heat, offering a potential explanation for overdoped cuprates and a blueprint for engineering such states.