NMR evidence of spin supersolid and Pomeranchuk effect behaviors in the triangular-lattice antiferromagnet Rb2_2Ni2_2(SeO3_3)3_3

Through high-field 85^{85}Rb NMR measurements on the triangular-lattice antiferromagnet Rb2_2Ni2_2(SeO3_3)3_3, the study provides evidence for a magnetic up-up-down phase and two distinct gapless regimes consistent with spin supersolid phases, while revealing a unique negative slope in the UUD-V phase boundary driven by strong low-energy spin fluctuations.

Ying Chen, Zhanlong Wu, Xuejuan Gui + 15 more2026-03-05🔬 physics

Separation induced transition in a low pressure turbine under varying compressibility

This study utilizes high-fidelity direct numerical simulations to demonstrate that increasing inlet Mach numbers in a low-pressure turbine cascade systematically reduces separation bubble sizes and accelerates transition to turbulence, yet paradoxically increases profile losses by altering the transition pathway from spanwise rolls to streak-dominated bypass mechanisms.

Priya Pal, Abhijeet Guha, Aditi Sengupta2026-03-05🔬 physics

Impact of perturbed eddy-viscosity modeling on stability and shape sensitivity of the hydro-turbine vortex rope using linearized Reynolds-averaged Navier-Stokes equations

This study demonstrates that consistently linearizing the eddy-viscosity turbulence model is essential for accurately capturing shape sensitivities of hydro-turbine vortex ropes, as neglecting these perturbations leads to incorrect sensitivity trends despite having minimal impact on the global mode's eigenvalues and eigenmodes.

Jens S. Müller, Sophie J. Knechtel, Kilian Oberleithner2026-03-05🔬 physics

Climate Downscaling with Stochastic Interpolants (CDSI)

This paper introduces Climate Downscaling with Stochastic Interpolants (CDSI), a cost-effective, data-driven method that leverages stochastic interpolants to efficiently transform coarse global climate model outputs into accurate high-resolution regional projections, thereby enabling broader ensemble simulations and improved uncertainty quantification compared to traditional Regional Climate Models.

Erik Larsson, Ramon Fuentes-Franco, Mikhail Ivanov + 1 more2026-03-05🔬 physics

Nuclear Matter Properties and Neutron Star Structures from an Extended Linear Sigma Model

This paper analyzes nuclear matter properties and neutron star structures using an extended linear sigma model, demonstrating that the introduction of the δ\delta meson creates a plateau in symmetry energy consistent with experimental constraints, while a negative pion-nucleon sigma term is required to achieve a stiff equation of state capable of supporting massive neutron stars.

Yao Ma2026-03-05🔬 physics

The indivisibility of a quantum-corrected AdS black hole with phantom global monopoles

This paper investigates the thermodynamic indivisibility of quantum-corrected AdS black holes with regular or phantom global monopoles, finding that while monopoles generally prevent fragmentation due to negative entropy differences, significant quantum fluctuations or a sufficiently large AdS radius can induce black hole splitting under specific mass ratio conditions.

Tiantong Cheng, Hongbo Cheng2026-03-05🔬 physics

Translational dynamics of diatomic molecule in magnetic quadrupole trap

This paper investigates the classical translational dynamics of homonuclear diatomic molecules in a magnetic quadrupole trap, demonstrating through numerical and analytical methods that the system is non-integrable and exhibits chaotic behavior alongside periodic and quasi-periodic trajectories, with specific solutions expressible via Jacobi elliptic functions.

Yurij Yaremko, Maria Przybylska, Andrzej J. Maciejewski2026-03-05🔬 physics

From maximal entropy exclusion process to unitary Dyson Brownian motion and free unitary hydrodynamics

This paper establishes a unified canonical framework linking the Maximal Entropy Simple Symmetric Exclusion Process to both Unitary Dyson Brownian Motion and Free Unitary Brownian Motion by leveraging Schur polynomials and symmetric group characters to derive explicit spectral decompositions and hydrodynamic limits that reveal entropic forces and nonlinear transport equations.

Yoann Offret2026-03-05🔬 physics

Fast proton transport and neutron production in proton therapy using Fourier neural operators

This paper introduces a Fourier Neural Operator-based surrogate model that rapidly and accurately predicts angle- and energy-resolved proton transport and neutron production in proton therapy, achieving Monte Carlo-level accuracy within seconds to enable real-time adaptive range verification and neutron dose estimation.

Francesco Blangiardi, Hunter N. Ratliff, Fabian Teichert + 3 more2026-03-05🔬 physics