arXiv Physics @arxiv_physics@qoto.org

Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning. (arXiv:2209.07559v1 [physics.comp-ph]) http://arxiv.org/abs/2209.07559

A wastewater-based harmless delay differential equation model to understand the emergence of SARS-CoV-2 variants. (arXiv:2209.07563v1 [q-bio.PE]) http://arxiv.org/abs/2209.07563

Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models. (arXiv:2209.07568v1 [physics.ao-ph]) http://arxiv.org/abs/2209.07568

Formulating Oscillator-Inspired Dynamical Systems to Solve Boolean Satisfiability. (arXiv:2209.07571v1 [math.DS]) http://arxiv.org/abs/2209.07571

Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw. (arXiv:2209.07576v1 [physics.med-ph]) http://arxiv.org/abs/2209.07576

The Development of Spatial Attention U-Net for The Recovery of Ionospheric Measurements and The Extraction of Ionospheric Parameters. (arXiv:2209.07581v1 [physics.space-ph]) http://arxiv.org/abs/2209.07581

Supporting Capabilities For Underground Facilities. (arXiv:2209.07588v1 [hep-ex]) http://arxiv.org/abs/2209.07588

Experimental Investigation of Mode Diversity Reception Using an Optical Turbulence Generator and Digital Holography. (arXiv:2209.06821v1 [physics.optics]) http://arxiv.org/abs/2209.06821

Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA. (arXiv:2209.06848v1 [physics.ao-ph]) http://arxiv.org/abs/2209.06848

The virial theorem for non-differentiable dynamical paths in resolution-scale relativity. (arXiv:2209.06856v1 [physics.gen-ph]) http://arxiv.org/abs/2209.06856

Fractional Electromagnetic Field Theory and Its Applications. (arXiv:2209.06857v1 [physics.gen-ph]) http://arxiv.org/abs/2209.06857

Quantum Non-Locality and the CMB: what Experiments say. (arXiv:2209.06858v1 [physics.gen-ph]) http://arxiv.org/abs/2209.06858

Reconstruction of Three-dimensional Scroll Wave Chaos in Opaque and Transparent Excitable Media using Deep Neural Networks. (arXiv:2209.06860v1 [q-bio.TO]) http://arxiv.org/abs/2209.06860

Optimization of the Femtosecond Laser Impulse for Photoassociation and the Power-Law Decay for the Spin-Orbit Mediated Dissociation in the NaRb Dimer. (arXiv:2209.06863v1 [physics.chem-ph]) http://arxiv.org/abs/2209.06863

Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks. (arXiv:2209.06897v1 [astro-ph.GA]) http://arxiv.org/abs/2209.06897

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach. (arXiv:2209.06901v1 [physics.ao-ph]) http://arxiv.org/abs/2209.06901

Hermite-Gaussian-mode coherently composed states and deep learning based free-space optical communication link. (arXiv:2209.06903v1 [physics.optics]) http://arxiv.org/abs/2209.06903

Free-space quasi-phase matching. (arXiv:2209.06207v1 [physics.optics]) http://arxiv.org/abs/2209.06207

Anomaly Detection under Coordinate Transformations. (arXiv:2209.06225v1 [hep-ph]) http://arxiv.org/abs/2209.06225

Design of Core-Shell Structured Magnetic Microwires with Desirable Properties for Multifunctional Applications. (arXiv:2209.06238v1 [cond-mat.mtrl-sci]) http://arxiv.org/abs/2209.06238