arXiv Physics @arxiv_physics@qoto.org

Clustering in laboratory and numerical turbulent swirling flows. (arXiv:2203.10195v1 [physics.flu-dyn]) http://arxiv.org/abs/2203.10195

Daily-activity-dependency of effective reproduction number in COVID-19 pandemic: direct modelling from GPS data. (arXiv:2203.09531v1 [physics.soc-ph]) http://arxiv.org/abs/2203.09531

Parity-time symmetric optical neural networks. (arXiv:2203.09546v1 [physics.optics]) http://arxiv.org/abs/2203.09546

Impact of Electron Transport Models on Capillary Discharge Plasmas. (arXiv:2203.09569v1 [physics.plasm-ph]) http://arxiv.org/abs/2203.09569

Prediction on Raman Spectra of Intrinsic Two-Dimensional Ga$_2$O$_3$ Monolayer. (arXiv:2203.09574v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2203.09574

Regularised unfolding with a discrete-valued penalty function. (arXiv:2203.09579v1 [physics.data-an]) http://arxiv.org/abs/2203.09579

Observation of emergent Dirac physics at the surfaces of acoustic higher-order topological insulators. (arXiv:2203.09583v1 [cond-mat.mes-hall]) http://arxiv.org/abs/2203.09583

Particle Physics Outreach at Non-traditional Venues. (arXiv:2203.09585v1 [physics.ed-ph]) http://arxiv.org/abs/2203.09585

Simulation-based Anomaly Detection for Multileptons at the LHC. (arXiv:2203.09601v1 [hep-ph]) http://arxiv.org/abs/2203.09601

Entangling Solid Solutions: Machine Learning of Tensor Networks for Materials Property Prediction. (arXiv:2203.09613v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2203.09613

Quantum perturbation theory using Tensor cores and a deep neural network. (arXiv:2203.09621v1 [physics.comp-ph]) http://arxiv.org/abs/2203.09621

Reconstruction of Large Radius Tracks with the Exa.TrkX pipeline. (arXiv:2203.08800v1 [physics.ins-det]) http://arxiv.org/abs/2203.08800

Physics-Informed Neural Networks with Adaptive Localized Artificial Viscosity. (arXiv:2203.08802v1 [physics.flu-dyn]) http://arxiv.org/abs/2203.08802

The European Spallation Source neutrino Super Beam. (arXiv:2203.08803v1 [physics.acc-ph]) http://arxiv.org/abs/2203.08803

Snowmass'21 Whitepaper -- IsoDAR Overview. (arXiv:2203.08804v1 [hep-ex]) http://arxiv.org/abs/2203.08804

Quantum Computing for Data Analysis in High-Energy Physics. (arXiv:2203.08805v1 [physics.data-an]) http://arxiv.org/abs/2203.08805

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. (arXiv:2203.08806v1 [hep-ph]) http://arxiv.org/abs/2203.08806

Broadening the scope of Education, Career and Open Science in HEP. (arXiv:2203.08809v1 [physics.ed-ph]) http://arxiv.org/abs/2203.08809

Analysis Cyberinfrastructure: Challenges and Opportunities. (arXiv:2203.08811v1 [physics.data-an]) http://arxiv.org/abs/2203.08811

Experiments on the Electrostatic Transport of Charged Anorthite Particles under Electron Beam Irradiation. (arXiv:2203.08817v1 [astro-ph.EP]) http://arxiv.org/abs/2203.08817