CompF2: Theoretical Calculations and Simulation Topical Group Report. (arXiv:2209.08177v1 [physics.comp-ph]) http://arxiv.org/abs/2209.08177
Research on the spectral reconstruction of a low-dimensional filter array micro-spectrometer based on a truncated singular value decomposition-convex optimization algorithm. (arXiv:2209.07531v1 [physics.data-an]) http://arxiv.org/abs/2209.07531
Three-wave mixing traveling-wave parametric amplifier with periodic variation of the circuit parameters. (arXiv:2209.07551v1 [quant-ph]) http://arxiv.org/abs/2209.07551
3D-Patterned Inverse-Designed Mid-Infrared Metaoptics. (arXiv:2209.07553v1 [physics.optics]) http://arxiv.org/abs/2209.07553
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
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