J. Yang, S. Kondrat, C. Lian, H. Liu, A. Schlaich, and C. Holm. Dataset, (2023)Related to: J. Yang, S. Kondrat, C. Lian, H. Liu, A. Schlaich, und C. Holm, „Solvent Effects on Structure and Screening in Confined Electrolytes“, Phys. Rev. Lett., Bd. 131, Nr. 11, 118201, Sep. 2023. doi: 10.1103/PhysRevLett.131.118201.
R. Miranda-Quintana, L. Chen, V. Craig, and J. Smiatek. The journal of physical chemistry. B, Condensed matter, materials, surfaces, interfaces & biophysical chemistry, 127 (11):
2546-2551(2023)
T. Shalomayeva. Dataset, (2023)Related to: Geng, J., Shalomayeva, T., Gryzlova, M., Mukherjee, A., Santonocito, S., Dzhavadzade, D., Dasari, D., Kato, H., Stöhr, R., Denisenko, A., Mizuochi, N. & Wrachtrup, J. (2023). Dopant-assisted stabilization of negatively charged single nitrogen-vacancy centers in phosphorus-doped diamond at low temperatures. npj Quantum Inf 9, 110. doi: 10.1038/s41534-023-00777-7.
V. Wagner, S. Höpfl, V. Klingel, M. Pop, and N. Radde. 9th IFAC Conference on Foundations of Systems Biology in Engineering FOSBE 2022, 55, 23, page 86-91. Elsevier, (2022)
S. Koppenhöfer. Dataset, (2023)Related to: Simon Koppenhöfer. “Task oriented algorithms for intelligent self propelled micro-agents”. Masterthesis. Stuttgart: Universität Stuttgart, Sep. 01, 2023.
J. Kühnert, D. Göddeke, and M. Herschel. 13th International Workshop on Theory and Practice of Provenance, page 1-4. Red Hook, Curran Associates, Inc., (2021)
S. Stastny, H. Büchler, and N. Lang. Dataset, (2023)Related to: S. Stastny, H. P. Büchler, and N. Lang, Functional completeness of planar Rydberg blockade structures, Physical Review B 108, 085138 (2023). doi: 10.1103/PhysRevB.108.085138.
C. Bühler, T. Ilg, and H. Büchler. Dataset, (2023)Related to: C. Bühler, T. Ilg, and H. P. Büchler, Quantum fluctuations in one-dimensional supersolids, Physical Review Research 5, 033092 (2023). doi: 10.1103/PhysRevResearch.5.033092.
S. Tovey, S. Krippendorf, K. Nikolaou, and C. Holm. Software, (2023)Related to: Tovey, S. J. et al. (2023) ‘Towards a phenomenological understanding of neural networks: data’, Machine Learning: Science and Technology. doi: 10.1088/2632-2153/acf099.
C. Lohrmann, and C. Holm. Software, (2023)Related to: Lohrmann, C. and Holm, C.: A novel model for biofilm initiation in porous media flow (under revision).