
This archive contains (i) Jupyter notebooks with examples of how to use STACIE. (ii) The output files needed to execute the example notebooks. Detailed descriptions and input files with which trajectories can be reproduced are provided in STACIE's Git repository: https://github.com/molmod/stacie/. Instructions for running the examples can be found in the README.pdf file included in this archive. All files in this dataset are distributed under a choice of license: either the Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0) or the GNU Lesser General Public License, version 3 or later (LGPL-v3+). The SPDX License Expression for the documentation is CC-BY-SA-4.0 OR LGPL-3.0-or-later. You should have received a copy of the CC BY-SA 4.0 and LGPL-v3+ licenses along with the data set. If not, see: https://creativecommons.org/licenses/by-sa/4.0/ https://www.gnu.org/licenses/
molten salt, transport properties, molecular dynamics trajectories, Lennard-Jones, Jupyter notebook, Cloud cover time correlations, STACIE
molten salt, transport properties, molecular dynamics trajectories, Lennard-Jones, Jupyter notebook, Cloud cover time correlations, STACIE
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
