output
19932026
most citedDecoupling gravitational sources in general relativity: from perfect to anisotropic fluids

487 citations

329 papers

quant-ph2026

Quantum correlations in mutually unbiased bases and non-Markovian dephasing

Hermann L. Albrecht, David M. Bellorin

Wu et al. introduced a symmetric measure in terms of mutually unbiased bases (MUBs) that quantifies residual quantum correlations (RQC). The definition of this measure invo…

cond-mat.soft2025★ 1 cited

Forced silo discharge: Simulation and theory

Luis. A. Pugnaloni, Marcos A. Madrid, J. R. Darias

We study, through discrete element simulations, the discharge of granular materials through a circular orifice on the base of a cylindrical silo forced by a surcharge. At the begin…

quant-ph2025

Local-available quantum correlation swapping in one-parameter X states

Hermann L. Albrecht

Although introduced for entanglement, quantum repeaters and swapping protocols have been analyzed for other quantum correlations (QC), such as quantum discord. In 2015, Mundarain a…

physics.ins-det2025★ 2 cited

Muon Imaging of Hydrotreatment Reactors

Rafael Armando Martínez-Rivero, Christian Sarmiento-Cano, Diego Catillo-Morales +4

This study presents the design and simulation-based validation of a muon imaging system tailored for potential applications in industrial hydrotreatment units. The system is built…

cond-mat.stat-mech2025

A comparative review of recent results on supercritical anomalies in two-dimensional kinetic Ising and Blume-Capel ferromagnets

Gloria M. Buendía, Celeste Mendes, Per Arne Rikvold

Following the unexpected experimental discovery of ``sideband'' peaks in the fluctuation spectrum of thin Co films driven by a slowly oscillating magnetic field with a constant bia…

cs.LG2025★ 1 cited

The Art of Misclassification: Too Many Classes, Not Enough Points

Mario Franco, Gerardo Febres, Nelson Fernández +1

Classification is a ubiquitous and fundamental problem in artificial intelligence and machine learning, with extensive efforts dedicated to developing more powerful classifiers and…