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arXiv:2602.11689v1 Announce Type: new Abstract: We investigate the use of tool-using coding agents to automate end-to-end workflows in the open-source CFD package OpenFOAM. Building on...
arXiv:2602.11682v1 Announce Type: new Abstract: We demonstrate a synthetic gauge phase in Rydberg electromagnetically induced transparency (EIT) using room-temperature rubidium vapor. By exploiting polarization selection...
arXiv:2602.11631v1 Announce Type: new Abstract: Accurate and efficient wavefield modeling underpins seismic structure and source studies. Traditional methods comply with physical laws but are computationally...
arXiv:2602.11621v1 Announce Type: new Abstract: This study introduces Differentiable Graph Neural Network Simulators (Diff-GNS) as a physics-informed and automated framework for estimating post-liquefaction residual strengths...
arXiv:2602.11613v1 Announce Type: new Abstract: Dispersion-based photonics-assisted microwave measurement systems provide immense potential for real-time analysis of wideband and dynamic signals. However, they face two...
arXiv:2602.11601v1 Announce Type: new Abstract: We present a collaboration ring model -- a network of players playing the prisoner's dilemma game and collaborating among the...
arXiv:2602.11597v1 Announce Type: new Abstract: We present a detailed characterization of the thermal neutron sensitive transparent glass scintillator SG101, benchmarked against the conventional LiF ZnS(Ag)based...
arXiv:2602.11563v1 Announce Type: new Abstract: While Rydberg-Rydberg interactions are essential for quantum nonlinear optics and quantum information processing, their role in microwave and radio-frequency sensing...
arXiv:2602.11540v1 Announce Type: new Abstract: Reaction-diffusion equations describe various spatially extended processes that unfold as traveling fronts moving at constant velocity. We introduce and solve...
arXiv:2602.11535v1 Announce Type: new Abstract: In this paper, we propose a switchable high-Q light absorber based on a reconfigurable metasurface enabled by a lowloss phase-change...
arXiv:2602.11508v1 Announce Type: new Abstract: Volumetric lithography offers a path to scalable fabrication of complex three-dimensional (3D) micro- and nanoscale architectures, yet existing approaches are...
arXiv:2602.11497v1 Announce Type: new Abstract: Quantitative imaging is an important feature of spectral X-ray and CT systems, especially photon-counting CT (PCCT) imaging systems, which is...
arXiv:2602.11422v1 Announce Type: new Abstract: Standard reduced models often fail to adequately describe the complex geometric response of tokamak plasmas to strong toroidal rotation. In...
arXiv:2602.11415v1 Announce Type: new Abstract: In Fermilab's PIP-II machine protection system, beam loss signals from various detectors are digitized at 125 MS/s. Noise from both...
arXiv:2602.11397v1 Announce Type: new Abstract: Quantum-state-controlled reactivity is a long-standing goal in the field of physical chemistry. In this work, we explore the vibrational-state-dependent behavior...
arXiv:2602.11377v1 Announce Type: new Abstract: Wall-modeled large-eddy simulation (WMLES) is performed for flow over a wing with a focus on documenting grid resolution requirements to...
arXiv:2602.11375v1 Announce Type: new Abstract: Hybrid photon counting detectors (HPCDs) have unlocked new capabilities for x-ray-based measurements at synchrotrons around the world in the last...
arXiv:2602.11370v1 Announce Type: new Abstract: Experience shows that disciplinary science cannot describe life without contradictions. We show that one of the fundamental reasons is the...
arXiv:2602.11359v1 Announce Type: new Abstract: The trigger system of the CMS detector is pivotal in the acquisition of data for physics measurements and searches. Studies...
arXiv:2602.11335v1 Announce Type: new Abstract: Molecular polaritons have drawn great interest in recent years as a possible avenue for providing optical control over chemical dynamics....
arXiv:2602.11313v1 Announce Type: new Abstract: Machine learning (ML)-based models have demonstrated high skill and computational efficiency, often outperforming conventional physics-based models in weather and subseasonal...
arXiv:2602.11233v1 Announce Type: new Abstract: Modern experimental techniques can generate magnetic fields of the form H(t) = H0 z-hat + H1 [x-hat cos({\omega}t) + y-hat...
arXiv:2602.11225v1 Announce Type: new Abstract: Scale invariance has received very little attention in physics. Nevertheless, it provides a natural conceptual foundation for a relational understanding...
arXiv:2602.11193v1 Announce Type: new Abstract: Machine learning techniques have proven to be effective in addressing the structure of atomic nuclei. Physics$-$Informed Neural Networks (PINNs) are...