Automated Author ProfileVeldscholte, Lars
Veldscholte, Lars
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Vapour sorption is investigated using coarse-grained molecular dynamics (MD) simulations of a polymer brush system, alternated with grand-canonical Monte Carlo (GCMC) sweeps to maintain a constant solvent vapour pressure in a region above the brush. The polymer self-affinity and of the polymer-solvent affinity are both varied with the goal of identifying sorption behaviour regimes of the vapour-solvated polymer brush system in the two-dimensional parameter space. Additionally, the solvent pressure is also varied. This dataset contains the output of the MD simulations (density profiles and data files).
Authors
- Veldscholte, Lars ;
- Ritsema van Eck, Guido ;
- de Beer, Sissi ;
- Nijkamp, Jan Willem
Vapour sorption is investigated using coarse-grained molecular dynamics (MD) simulations of a polymer brush system, alternated with grand-canonical Monte Carlo (GCMC) sweeps to maintain a constant solvent vapour pressure in a region above the brush. The polymer self-affinity and of the polymer-solvent affinity are both varied with the goal of identifying sorption behaviour regimes of the vapour-solvated polymer brush system in the two-dimensional parameter space. Additionally, the solvent pressure is also varied. This dataset contains the output of the MD simulations (density profiles and data files).
Authors
- Veldscholte, Lars ;
- Ritsema van Eck, Guido ;
- de Beer, Sissi ;
- Nijkamp, Jan Willem