Analysis and Numerics of sharp and diffuse interface models for droplet dynamics
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1 to 10 of 14 Results
Jan 11, 2024 - Projects without PN Affiliation
Magiera, Jim M., 2024, "Replication Data for: Constraint-aware neural networks for Riemann problems", https://doi.org/10.18419/darus-3869, DaRUS, V1
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in...
TAR Archive - 760.0 KB - MD5: ba5bd990d605c0ac0c59de0b2a6ad895
TAR Archive - 20.7 MB - MD5: 9bb9e60e0ecc41870542c44612b9534a
TAR Archive - 6.6 MB - MD5: 0ea50573c5d33f004f7f77b6605b40eb
Markdown Text - 1.8 KB - MD5: e76e479af26b075f6e89bb2ea3ea098d
Mar 8, 2023 - Projects without PN Affiliation
Alkämper, Maria; Magiera, Jim M., 2022, "Interface Preserving Moving Mesh (Code)", https://doi.org/10.18419/darus-1671, DaRUS, V2
Open source implementation in C++ for an interface preserving moving mesh in 2d and 3d using CGAL Delaunay triangulations. The time-dependent computational mesh allows for large point deformations while preserving a lower dimensional interface surface. See README.md for more info...
XZ Archive - 74.2 KB - MD5: c4c9ae40a97967b2b210464f38171961
Code
Markdown Text - 4.9 KB - MD5: 7011d66a16a0c94f159deae80406e287
Documentation
Mar 19, 2021
Magiera, Jim, 2021, "Data Sets for 'A Molecular-Continuum Multiscale Solver for Liquid-Vapor Flow: Modeling and Numerical Simulation'", https://doi.org/10.18419/darus-1258, DaRUS, V1, UNF:6:Y8rX9qVCRjGzdo+3XFYlMg== [fileUNF]
Data sets of the dissertation 'A Molecular-Continuum Multiscale Solver for Liquid-Vapor Flow: Modeling and Numerical Simulation', comprised of microscale particle simulation results for non-equilibrium liquid-vapor phase boundaries.
Tabular Data - 1.6 MB - 13 Variables, 7197 Observations - UNF:6:Tf4NcejgqnFDxYmq0QZy8g==
Data
All variables are given in reduced units for the van der Waals potential.
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