output
20162026
most citedThe Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package

5k citations

Showing 2025Show all

254 papers · 1 filter

cond-mat.str-el2025

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space

Samuele Giuli, Hasanat Hasan, Benedikt Kloss +5

Simulations of quantum matter rely mainly on Kohn-Sham density functional theory (DFT), which often fails for strongly correlated systems. Quantum embedding (QE) theories address t…

cond-mat.str-el20253 cited

Impact of strong electronic correlations on altermagnets: the case of NiS2

Ina Park, Turan Birol, Antoine Georges +1

One of the distinguishing features of an altermagnet is that its spin-up and spin-down bands display a nodal momentum-dependent splitting even in the absence of spin-orbit coupling…

cond-mat.supr-con2025

Two-dimensional helical superconductivity and gapless superconducting edge modes in the 1T-WS/2H-WS heterophase bilayer

Xuance Jiang, Jennifer Cano, Yuan Ping +2

We propose a material platform comprised of transition metal dichalcogenide (TMDC) heterostructures to realize the two-dimensional (2D) helical superconductivity with an intrinsic…

astro-ph.CO2025

Euclid preparation. Review of forecast constraints on dark energy and modified gravity

Euclid Collaboration, N. Frusciante, M. Martinelli +326

The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…

cond-mat.mes-hall20254 cited

Angle evolution of the superconducting phase diagram in twisted bilayer WSe2

Yinjie Guo, John Cenker, Ammon Fischer +13

Recent observations of superconductivity in twisted bilayer WSe have extended the family of moiré superconductors beyond twisted graphene. In WSe two different twist angles…

astro-ph.IM2025

Euclid Quick Data Release (Q1). From simulations to sky: Advancing machine-learning lens detection with real Euclid data

Euclid Collaboration, N. E. P. Lines, T. E. Collett +301

In the era of large-scale surveys like Euclid, machine learning has become an essential tool for identifying rare yet scientifically valuable objects, such as strong gravitational…