arXiv Physics @arxiv_physics@qoto.org

Interpreting the suction stress profiles under steady-state conditions considering the independence of van Genuchten SWCC parameters https://arxiv.org/abs/2411.04333 #physicscompph #physicsgeoph

Quantum evolution: terrestrial fine-tuning of magnetic parameters https://arxiv.org/abs/2411.03316 #physicsbioph #quantph

Advancements in Nanoparticle-based Near-Infrared Fluorescence Probes for Cancer Specific Imaging Applications https://arxiv.org/abs/2411.03319 #physicsmedph #qbioBM #qbioTO

An Integrated Framework for Uncertainty Quantification in High Temperature Gas Cooled Reactors using the HCP Time-dependent Multiphysics code and Dakota toolkit https://arxiv.org/abs/2411.03329 #physicsinsdet

The Systematics and Operational Studies (SOS) Apparatus as a testbed for nEDM@SNS experiment https://arxiv.org/abs/2411.03337 #physicsinsdet #nuclex

Machine-Learning-Enabled Measurements of Astrophysical (p,n) Reactions with the SECAR Recoil Separator https://arxiv.org/abs/2411.03338 #physicsinsdet #nuclex

A Printed Microscopic Universal Gradient Interface for Super Stretchable Strain-Insensitive Bioelectronics https://arxiv.org/abs/2411.03339 #condmatmtrlsci #physicsmedph #physicsappph #physicsbioph

The Goldman-Hodgkins-Katz Equation, Reverse-Electrodialysis, and Everything in Between https://arxiv.org/abs/2411.03342 #physicsbioph

Derivation and physical interpretation of the general solutions to the wave equations for electromagnetic potentials https://arxiv.org/abs/2411.03362 #physicsclassph #eessIV

Quasi-electrostatic eigenmode analysis of anisotropic particles https://arxiv.org/abs/2411.03378 #physicsappph #condmatsoft

Neurons for Neutrons: A Transformer Model for Computation Load Estimation on Domain-Decomposed Neutron Transport Problems https://arxiv.org/abs/2411.03389 #physicscompph #csAI

A Robust and Efficient Multi-physics Numerical System for Intensive Blast Wave Propagation in Complex Environments https://arxiv.org/abs/2411.02407 #physicscompph

SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients https://arxiv.org/abs/2411.02411 #physicscompph

An Efficient Monte Carlo Simulation for Radiation Transport Based on Global Optimal Reference Field https://arxiv.org/abs/2411.02415 #physicscompph

An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow https://arxiv.org/abs/2411.02431 #physicsfludyn #csLG

First observations of the seiche that shook the world https://arxiv.org/abs/2411.02469 #physicsgeoph #csLG

PICOSEC-Micromegas Detector, an innovative solution for Lepton Time Tagging https://arxiv.org/abs/2411.02532 #physicsinsdet

Primary measurement of massic activity of Am-241 by cryogenic decay energy spectrometery https://arxiv.org/abs/2411.02565 #physicsinsdet #nuclex

Revisit Liu and Katz (2006) and Zigunov and Charonko (2024b), Part (I): on the Equivalence of the Omnidirectional Integration and the Pressure Poisson Equation https://arxiv.org/abs/2411.02583 #physicsfludyn

Computing critical exponents in 3D Ising model via pattern recognition/deep learning approach https://arxiv.org/abs/2411.02604 #condmatstatmech #physicscompph #csAI #csCV #csLG