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Symmetry oscillations sensitivity to SU(2)-symmetry breaking in quantum mixtures
S. Musolino, M. Albert, P. Vignolo, A. Minguzzi
https://arxiv.org/abs/2506.22266

Symmetry oscillations sensitivity to SU(2)-symmetry breaking in quantum mixtures
In one-dimensional bosonic quantum mixtures with SU(2)-symmetry breaking Hamiltonian, the dynamical evolution explores different particle exchange symmetry sectors. For the case of infinitely strong intra-species repulsion, the hallmark of such symmetry oscillations are time modulations of the momentum distribution [Phys. Rev. Lett. 133, 183402 (2024)], an observable routinely accessed in experiments with ultracold atoms. In this work we show that this phenomenon is robust in strongly interacti…

First observation of quantum oscillations by transport measurements in semi-destructive pulsed magnetic fields up to 125 T
M. Massoudzadegan, S. Badoux, N. Bruyant, I. Gilmutdinov, I. Haik-Dunn, G. de Oliveira Rodrigues, N. Lourenco Prata, A. Zitouni, M. Nardone, O. Drashenko, O. Portugall, S. Wiedmann, B. Fauqu\'e, D. Vignolles, B. Reulet, C. Proust

First observation of quantum oscillations by transport measurements in semi-destructive pulsed magnetic fields up to 125 T
High magnetic fields have proven instrumental in exploring the physical properties of condensed matter, leading to groundbreaking discoveries such as the quantum Hall effect in 2D heterostructures and quantum oscillations in cuprate superconductors. The ability to conduct precise measurements at progressively higher magnetic fields continues to push the frontiers of knowledge and enable new discoveries. In this work, we present the development of a microwave technique for performing two-point t…

Step-directed Epitaxy of Uni-directional Hexagonal Boron Nitride on Vicinal Ge(110)
Ju-Hyun Jung, Chao Zhao, Seong-Jun Yang, Jun-Ho Park, Woo-Ju Lee, Su-Beom Song, Jonghwan Kim, Chan-Cuk Hwang, Seung-Hwa Baek, Feng Ding, Cheol-Joo Kim
https://arxiv.org/abs/2507.18985

Step-directed Epitaxy of Uni-directional Hexagonal Boron Nitride on Vicinal Ge(110)
Insulating hexagonal boron nitride (hBN) films with precisely controlled thickness are ideal dielectric components to modulate various interfaces in electronic devices. To achieve this, high-quality hBN with controlled atomic configurations must be able to form pristine interfaces with various materials in devices. However, previously reported large-scale hBN films with uniform thickness either are polycrystalline or are not suitable for atomically clean assembly via mechanical exfoliation, lim…

Benchmarking of Geant4 simulations for the COSI Anticoincidence System
Alex Ciabattoni, Valentina Fioretti, John A. Tomsick, Andreas Zoglauer, Parshad Patel, Lee Mitchell, Andrea Bulgarelli, Pierre Jean, Gabriele Panebianco, Nicol\`o Parmiggiani, Cristian Vignali, Peter von Ballmoos, Eric Wulf
https://arxiv.org/abs/2507.21275

Benchmarking of Geant4 simulations for the COSI Anticoincidence System
The Compton Spectrometer and Imager (COSI) is an upcoming NASA Small Explorer satellite mission, designed for all-sky observations in the soft gamma-ray domain with the use of germanium detectors (GeDs). An active Anticoincidence System (ACS) of BGO scintillators surrounds the GeDs to reduce the background and contribute to the detection of transient events. Accurately modeling the ACS performance requires simulating the intricate scintillation processes within the shields, which significantly …

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
R. Arcidiacono, G. Bardelli, M. Bartolini, M. Boscardin, N. Cartiglia, A. Cassese, M. Centis Vignali, T. Croci, M. Ferrero, A. Fondacci, O. Hammad Ali, M. Lizzo, L. Menzio, A. Morozzi, F. Moscatelli, D. Passeri, G. Paternoster, G. Sguazzoni, F. Siviero, V. Sola, L. Viliani
https://

Innovative DC-coupled Resistive Silicon Detector for 4D tracking
In the past 10 years, two design innovations, the introduction of low internal gain (LGAD) and of resistive read-out (RSD), have radically changed the performance of silicon detectors. The LGAD mechanism, increasing the signal-to-noise ratio by about a factor of 20, leads to improved time resolution (typically 30 ps for a 50-$μ$m thick sensor), while resistive read-out, sharing the collected charge among read-out electrodes, leads to excellent spatial resolution even using large pixels (about …

Dark photon dark matter from flattened axion potentials
Hong-Yi Zhang, Paola Arias, Andrew Cheek, Enrico D. Schiappacasse, Luca Visinelli, Leszek Roszkowski
https://arxiv.org/abs/2507.20484

Dark photon dark matter from flattened axion potentials
Dark photons can be resonantly produced in the early universe via their coupling to an oscillating axion field. However, this mechanism typically requires large axion-dark photon couplings or some degree of fine-tuning. In this work, we present a new scenario in which efficient dark photon production arises from axion potentials that are shallower than quadratic at large field values. For moderately large initial misalignment angles, the oscillation of the axion field can trigger either efficie…

Hemodynamic effects of intra- and supra- deployment locations for a bio-prosthetic aortic valve
Martino Andrea Scarpolini, Giovanni Vagnoli, Fabio Guglietta, Roberto Verzicco, Francesco Viola
https://arxiv.org/abs/2505.22687

Hemodynamic effects of intra- and supra- deployment locations for a bio-prosthetic aortic valve
Aortic valve replacement is a key surgical procedure for treating aortic valve pathologies, such as stenosis and regurgitation. The precise placement of the prosthetic valve relative to the native aortic annulus plays a critical role in the post-operative hemodynamics. This study investigates how the positioning of a biological prosthetic valve-either intra-annular (within the native annulus) or supra-annular (slightly downstream, in the widened portion of the aortic root)-affects cardiac fluid…

Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
Ananya Anand
https://arxiv.org/abs/2507.21330 https://arx…

Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
Accurately predicting the outcome of a trial of labor after cesarean (TOLAC) is essential for guiding prenatal counseling and minimizing delivery-related risks. This study presents supervised machine learning models for predicting vaginal birth after cesarean (VBAC) using 643,029 TOLAC cases from the CDC WONDER Natality dataset (2017-2023). After filtering for singleton births with one or two prior cesareans and complete data across 47 prenatal-period features, three classifiers were trained: l…

Exchange-correlation torques from gauge symmetries
Jacques K. Desmarais, Kamel Bencheikh, Giovanni Vignale, Stefano Pittalis
https://arxiv.org/abs/2506.19458

Exchange-correlation torques from gauge symmetries
The problem of predicting accurate exchange-correlation (xc) spin-torques in non-collinear magnetic systems has dominated the scene of spin-density functional theory (SDFT) in the last two decades. Progress has been hindered by the fact that the spin torque is directly connected to the divergence of the spin current, a quantity that is extraneous to SDFT. Furthermore, SDFT does not apply in the presence of vector potentials and spin-orbit couplings. Here, we propose a solution that exploits the…