arXiv Physics @arxiv_physics@qoto.org

Computational Modeling and Analysis of the Coupled Aero Structural Dynamics in Bat Inspired Wings https://arxiv.org/abs/2501.02034 #physicsfludyn

The MAJORANA DEMONSTRATOR experiment's construction, commissioning, and performance https://arxiv.org/abs/2501.02060 #physicsinsdet #nuclex

Simulating Bell inequalities with Qibo https://arxiv.org/abs/2501.01434 #physicsedph #quantph

Innovative Approaches to Teaching Quantum Computer Programming and Quantum Software Engineering https://arxiv.org/abs/2501.01446 #physicsedph #quantph #csSE

The Effects of Anthropogenic Air and Light Pollution on Astrophysics and Society https://arxiv.org/abs/2501.01452 #physicssocph #physicsaoph #astrophIM

Droplet Nucleation In a Rapid Expansion Aerosol Chamber https://arxiv.org/abs/2501.01467 #physicsfludyn

Sparse identification of evolution equations via Bayesian model selection https://arxiv.org/abs/2501.01476 #physicsdataan

Garbage in Garbage out: Impacts of data quality on criminal network intervention https://arxiv.org/abs/2501.01508 #physicssocph #csSI

Review Article: Integral Role of Physics in Advancing Pharmacy Education and Research https://arxiv.org/abs/2501.01527 #physicsmedph #physicspopph #physicssocph #physicsedph

Asymptotic approximations for convection onset with Ekman pumping at low wavenumbers https://arxiv.org/abs/2501.01543 #physicsfludyn #mathph #mathMP

Beam test performance of a prototype muon trigger detector for the PSI muEDM experiment https://arxiv.org/abs/2501.01546 #physicsinsdet #hepex

Dynamic realization of emergent high-dimensional optical vortices https://arxiv.org/abs/2501.01550 #condmatmeshall #physicsoptics

Machine learning models for Si nanoparticle growth in nonthermal plasma https://arxiv.org/abs/2501.00003 #physicscompph #csLG

Adapting Atmospheric Chemistry Components for Efficient GPU Accelerators https://arxiv.org/abs/2501.00011 #physicscompph #csAR

On-the-Fly Path Planning of Compositional Gradients in High Dimensions https://arxiv.org/abs/2501.00012 #condmatmtrlsci #physicscompph

Finite difference physics-informed neural networks enable improved solution accuracy of the Navier-Stokes equations https://arxiv.org/abs/2501.00014 #physicscompph #physicsfludyn

Energy-Efficient Sampling Using Stochastic Magnetic Tunnel Junctions https://arxiv.org/abs/2501.00015 #physicscompph #statCO #statML #csLG

Predicting Crack Nucleation and Propagation in Brittle Materials Using Deep Operator Networks with Diverse Trunk Architectures https://arxiv.org/abs/2501.00016 #physicscompph #csAI

Magnetic Field Data Calibration with Transformer Model Using Physical Constraints: A Scalable Method for Satellite Missions, Illustrated by Tianwen-1 https://arxiv.org/abs/2501.00020 #physicsspaceph #astrophEP #astrophIM #csLG

Algorithmic Idealism II: Reassessment of Competing Theories https://arxiv.org/abs/2501.00022 #physicshistph #quantph