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arXiv:2601.15340v2 Announce Type: replace-cross Abstract: Physical neural networks typically train linear synaptic weights while treating device nonlinearities as fixed. We show the opposite - by...
arXiv:2601.18820v1 Announce Type: new Abstract: Cologna et al. (2025) compared perceived scientist trustworthiness across 68 countries/regions and examined its associations with individual- and country-level factors....
arXiv:2601.18848v1 Announce Type: new Abstract: This paper introduces wavelet-physics-informed residual neural networks (W-PIRNNs) to study complex fluid flow problems by reconstructing the flow field from...
arXiv:2601.18895v1 Announce Type: new Abstract: People may express preferences that differ from their privately held views, often under social pressure, and may fail to act...
arXiv:2601.18911v1 Announce Type: new Abstract: This work investigates the propagation of elastic waves in periodic Kelvin-cell chains, focusing on symmetry-breaking geometric modifications induced by twisting...
arXiv:2601.18915v1 Announce Type: new Abstract: Optical trapping is a well_established, decades old technology with applications in several fields of research. The most common scenario deals...
arXiv:2601.18925v1 Announce Type: new Abstract: We present the novel Tensorized Discontinuous Isogeometric Analysis (TDIGA) method applied to the discontinuous Galerkin (DG) time-independent 2-D linearized Boltzmann...
arXiv:2601.18957v1 Announce Type: new Abstract: We show how several important classical problems, with positive definite potential energy, can be solved by starting from the factorization...
arXiv:2601.18988v1 Announce Type: new Abstract: Fast, counter-streaming plasma outflows drive magnetic field amplification, plasma heating, and particle acceleration in numerous astrophysical environments, from supernova remnant...
arXiv:2601.19025v1 Announce Type: new Abstract: Conventional viscoelastic characterization of brain white matter (BWM), typically described using Prony series models, remains a largely empirical representation that...
arXiv:2601.19028v1 Announce Type: new Abstract: Flat-band states in topological systems provide a unique platform for investigating strongly correlated phenomena and many body physics. However, in...
arXiv:2601.19034v1 Announce Type: new Abstract: Although electrostatics can be incorporated into machine-learned interatomic potentials, existing approaches are computationally very demanding, limiting large-scale, long-time simulations of...
arXiv:2601.19073v1 Announce Type: new Abstract: Magnetic islands strongly influence cross-field electron transport in magnetized plasmas. In particular, bifurcations of the island topology modify the number...
arXiv:2601.19080v1 Announce Type: new Abstract: Learning reduced descriptions of chaotic many-body dynamics is fundamentally challenging: although microscopic equations are Markovian, collective observables exhibit strong memory...
arXiv:2601.19104v1 Announce Type: new Abstract: This study considers capturing aerodynamic causality from snapshot data with a time-varying mode decomposition technique referred to as information-theoretic machine...
arXiv:2601.19116v1 Announce Type: new Abstract: Passive daytime radiative cooling (PDRC) provides an energy-free approach to suppress surface temperatures by reflecting solar irradiation while emitting thermal...
arXiv:2601.19201v1 Announce Type: new Abstract: Mid and deep ultraviolet (UV) laser diodes remain among the least explored devices in semiconductor optoelectronics, despite their importance for...
arXiv:2601.19212v1 Announce Type: new Abstract: We study the sedimentation of finite-size inertial particles in a Rayleigh-Taylor-like setup using state-of-the-art direct numerical simulations. The falling particles...
arXiv:2601.19289v1 Announce Type: new Abstract: After a very calm 24th solar activity cycle, the 25th cycle has already seen several interesting events. A Ground Level...
arXiv:2601.19291v1 Announce Type: new Abstract: The magnetic compression experiment at General Fusion was a repetitive non-destructive test to study plasma physics applicable to magnetic target...
arXiv:2601.19298v1 Announce Type: new Abstract: The predictability of the generative AI-based nowcasting model LDCast (trained on another region) is evaluated over Belgium, together with the...
arXiv:2601.19305v1 Announce Type: new Abstract: We present a Rydberg atom-based microwave electric field sensor that achieves extended dynamic range and enhanced sensitivity across a broad...
arXiv:2601.19351v1 Announce Type: new Abstract: Data-driven turbulence prediction methods often face challenges related to data dependency and lack of physical interpretability. In this paper, we...
arXiv:2601.19361v1 Announce Type: new Abstract: We report on energy scaling of a 2.08-{\mu}m wavelength regenerative amplifier (RA) system based on the broadband gain material Ho:CaAlGdO4...