Automated Organization ProfileResearch Center for Functional Materials, National Institute for Materials Scienc
Research Center for Functional Materials, National Institute for Materials Scienc
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 7.0 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data Repository for the Publication: Impact of competing energy scales on the shell-filling sequence in elliptic bilayer graphene quantum dots Abstract: We report on a detailed investigation of the shell-filling sequence in electrostatically defined elliptic bilayer graphene quantum dots (QDs) in the regime of low charge carrier occupation, N < 12, by means of magnetotransport spectroscopy and numerical calculations. We show the necessity of including both short-range electron-electron interaction and wavefunction-dependent valley g-factors for understanding the overall fourfold shell-filling sequence. These factors lead to an additional energy splitting at half-filling of each orbital state and different energy shifts in out-of-plane magnetic fields. Analysis of 31 different BLG QDs reveals that both valley g-factor and electron-electron interaction induced energy splitting increase with decreasing QD size, validating theory. However, we find that the electrostatic charging energy of such gate-defined QDs does not correlate consistently with their size, indicating complex electrostatics. These findings offer significant insights for future BLG QD devices and circuit designs.
Authors
- Möller, S. ;
- Banszerus, L. ;
- Knothe, A. ;
- L. Valerius ;
- Hecker, K. ;
- E. Icking ;
- K. Watanabe ;
- T. Taniguchi ;
- C. Volk ;
- Stampfer, C.
Data Repository for the Publication: Impact of competing energy scales on the shell-filling sequence in elliptic bilayer graphene quantum dots Abstract: We report on a detailed investigation of the shell-filling sequence in electrostatically defined elliptic bilayer graphene quantum dots (QDs) in the regime of low charge carrier occupation, N < 12, by means of magnetotransport spectroscopy and numerical calculations. We show the necessity of including both short-range electron-electron interaction and wavefunction-dependent valley g-factors for understanding the overall fourfold shell-filling sequence. These factors lead to an additional energy splitting at half-filling of each orbital state and different energy shifts in out-of-plane magnetic fields. Analysis of 31 different BLG QDs reveals that both valley g-factor and electron-electron interaction induced energy splitting increase with decreasing QD size, validating theory. However, we find that the electrostatic charging energy of such gate-defined QDs does not correlate consistently with their size, indicating complex electrostatics. These findings offer significant insights for future BLG QD devices and circuit designs.
Authors
- Möller, S. ;
- Banszerus, L. ;
- Knothe, A. ;
- L. Valerius ;
- Hecker, K. ;
- E. Icking ;
- K. Watanabe ;
- T. Taniguchi ;
- C. Volk ;
- Stampfer, C.
Experimental data and python scripts used to evaluate the data and to perform simulations for the publication " Particle-hole symmetry protects spin-valley blockade in graphene quantum dots " in Nature. https://doi.org/10.1038/s41586-023-05953-5
Authors
- Banszerus, L. ;
- Möller, S. ;
- K. Hecker ;
- E. Icking ;
- K. Watanabe ;
- T. Taniguchi ;
- F. Hassler ;
- C. Volk ;
- C. Stampfer
Experimental data and python scripts used to evaluate the data and to perform simulations for the publication " Particle-hole symmetry protects spin-valley blockade in graphene quantum dots " in Nature. https://doi.org/10.1038/s41586-023-05953-5
Authors
- Banszerus, L. ;
- Möller, S. ;
- K. Hecker ;
- E. Icking ;
- K. Watanabe ;
- T. Taniguchi ;
- F. Hassler ;
- C. Volk ;
- C. Stampfer
Data and scripts used to generate the figures in the publication"Probing two-electron multiplets in bilayer graphene quantum dots" by S. Möller et al., Phys. Rev. Lett. 127, 256802, https://doi.org/10.1103/PhysRevLett.127.256802 are available here.
Authors
- S. Möller ;
- L. Banszerus ;
- A. Knothe ;
- C.Steiner ;
- E. Icking ;
- S. Trellenkamp ;
- F. Lentz ;
- K. Watanabe ;
- T. Taniguchi ;
- L. I. Glazman ;
- V. I. Fal'ko ;
- C. Volk ;
- C. Stampfer
Data and scripts used to generate the figures in the publication"Probing two-electron multiplets in bilayer graphene quantum dots" by S. Möller et al., Phys. Rev. Lett. 127, 256802, https://doi.org/10.1103/PhysRevLett.127.256802 are available here.
Authors
- S. Möller ;
- L. Banszerus ;
- A. Knothe ;
- C.Steiner ;
- E. Icking ;
- S. Trellenkamp ;
- F. Lentz ;
- K. Watanabe ;
- T. Taniguchi ;
- L. I. Glazman ;
- V. I. Fal'ko ;
- C. Volk ;
- C. Stampfer