101 to 110 of 2,815 Results
Unknown - 144 B -
MD5: b93c9bfa799e7733b3af63bd271f70a7
Simulation Data |
Unknown - 144 B -
MD5: 324ce21fd61e331d04caed15d7612616
Simulation Data |
Unknown - 144 B -
MD5: 3d5e30fa1ad2cfb975e868b2de3e84b9
Simulation Data |
JSON - 507 B -
MD5: 6170a810fdb01a93a4dbb6f437ffe0c5
PC-SAFT parameters for methane as published in gross et al. 2001. |
Jupyter Notebook - 39.8 KB -
MD5: aa2385b4d57e50fb7a6770f67a5614ce
This notebook can be used to visualize density profiles of equilibrium and dynamic droplet simulations (DFT, HDFT, MD, NEMD), and to determine the respective contact angle. |
Jupyter Notebook - 14.8 KB -
MD5: c152f5cd4d9d0de662c21309a77237af
This notebook can be used to determine the initial information required for a hydrodynamic DFT simulation. This comprises the external potential, the weighted density of wall atoms (for entropy scaling) and the initial density profile (i.e. an equilibrated droplet) from DFT. |
Jupyter Notebook - 24.7 KB -
MD5: 519ebc917158d6b72904fa2691ce5b48
This notebook can be used to postprocess (NE)MD simulations carried out using LAMMPS. It is assumed, that the simulations are carried out with the in.lammps files and that trajectories are stored in a traj.lammpsdump file. |
Jupyter Notebook - 28.0 KB -
MD5: 1f16d92f41eaed52a9bda964c4a4a82e
This notebook can be used to determine and plot the center of mass position of the droplet, to calculate the average or steady-state velocity of the droplet and to visualize two dimensional velocity profiles |
Plain Text - 2.3 KB -
MD5: d1c24713c34daba5c3411f51be8486cb
Summary of information included in this repository. |
Unknown - 500.5 MB -
MD5: 10670347fd1c251001e3b8b4ad74a76d
Simulation Data |