An intuitive visualization of vector fields.
An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines
Open Source Vector Field Topology. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021000960
Python scripts using the Visualization Toolkit (VTK) and Topology ToolKit (TTK) libraries. Tasks: visualize and explore topological features of a 3D volume and 2D scalar field datasets. 1. Probability density for the 3d electron position in a hydrogen atom and 2. 2D scalar field.
We present a novel reverse reconstruction method that predicts the QCD critical point at $T = 151$ MeV, $\mu_B = 364$ MeV from fundamental physical constants. Our approach shows excellent agreement with LHC data and provides testable predictions for CERN's recent oxygen-proton collision program.
Ising model simulation to compare various intrinsic utility measures.
Reproducible implementation of pure-compound and mixture critical point, and composition-dependent binary critical loci calculations with PC-SAFT EOS using Newton–Raphson (NR) and Global Optimization (GO) methods.
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