arXiv Physics @arxiv_physics@qoto.org

The impact of the spatial resolution of wind data on multi-decadal wind power forecasts in Germany https://arxiv.org/abs/2410.14681 #physicsaoph #statAP

Excess Density as a Descriptor for Electrolyte Solvent Design https://arxiv.org/abs/2410.14689 #physicschemph

Fourier Synthetic Aperture-based Time-resolved Terahertz Imaging https://arxiv.org/abs/2410.14694 #physicsoptics

REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring https://arxiv.org/abs/2410.14696 #physicschemph #qbioBM #csAI #csLG

Machine Learning-Powered Data Cleaning for LEGEND https://arxiv.org/abs/2410.14701 #physicsdataan #physicsinsdet #nuclex

Coarse grained modeling of a metal-organic framework/polymer composite and its gas adsorption at the nanoparticle level https://arxiv.org/abs/2410.14708 #condmatmtrlsci #physicschemph #condmatsoft

On the possible role of condensation-related hydrostatic pressure adjustments in intensification and weakening of tropical cyclones https://arxiv.org/abs/2410.14717 #physicsaoph

A Transformer Based Generative Chemical Language AI Model for Structural Elucidation of Organic Compounds https://arxiv.org/abs/2410.14719 #physicschemph #physicscompph #qbioBM #csLG

Design Studies Of A Pulsed Quasimonoenergetic 2-keV Neutron Source For Calibration Of Low Threshold Dark Matter Detectors https://arxiv.org/abs/2410.14722 #physicsinsdet #hepex

Machine Learning Aided Modeling of Granular Materials: A Review https://arxiv.org/abs/2410.14767 #physicsgeoph #condmatsoft #csLG

On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants https://arxiv.org/abs/2410.13873 #condmatmtrlsci #physicscompph #csLG

Development of HfO$_{2-X}$-based Neural Memristor Utilizing Tantalum and Molybdenum Electrode https://arxiv.org/abs/2410.13888 #physicsappph

Machine Learning-Based Estimation of Superdroplet Growth Rates Using DNS Data https://arxiv.org/abs/2410.13890 #physicsfludyn #physicsaoph

A Nonlinear ODE System for the Unsteady Hydrodynamic Force -- A New Approach https://arxiv.org/abs/2410.13892 #physicsfludyn #mathDS

Sheltering effect of various wave energy converter archetypes for offshore wind turbines https://arxiv.org/abs/2410.13898 #physicsfludyn #physicsaoph

Research on the identification of the two-phase flow pattern of gas-liquid in a vertical rising tube based on BP neural networks https://arxiv.org/abs/2410.13906 #physicsfludyn

Recursive Work Extraction from Quantum Conditional Information https://arxiv.org/abs/2410.13916 #physicsgenph

A multi-detector neutral helium atom microscope https://arxiv.org/abs/2410.13955 #physicsinsdet #condmatother

Poynting vector for Cauchy-Riemann beams https://arxiv.org/abs/2410.14015 #physicsoptics

Data-Driven Discovery of Beam Centroid Dynamics https://arxiv.org/abs/2410.14019 #physicsaccph