 | A. Jeindl, J. Domke, L. Hörmann, F. Sojka, R. Forker, T. Fritz, O. T. Hofmann,
Nonintuitive Surface Self-Assembly of Functionalized Molecules on Ag(111)
ACS Nano 2021, acsnano.0c10065.
https://doi.org/10.1021/acsnano.0c10065 |
 | O. T. Hofmann, E. Zojer, L. Hörmann, A. Jeindl, R. J. Maurer,
First-Principles Calculations of Hybrid Inorganic-Organic Interfaces: From State-of-the-Art to Best Practice.
Phys. Chem. Chem. Phys. 2021, 10.1039.D0CP06605B.
https://doi.org/10.1039/D0CP06605B |
| 
| L. Hörmann, A. Jeindl, O.T. Hofmann,
Reproducibility of Potential Energy Surfaces of Organic/Inorganic Interfaces on the Example of PTCDA on Ag(111).
The Journal of Chemical Physics, 2021, 153, 10, 104701,
https://doi.org/10.1063/5.0020736 |
| 
| A. T. Egger, L. Hörmann, A. Jeindl, M. Scherbela, M. V. Obersteiner, M. Todorović, P. Rinke, O. T. Hofmann,
Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search.
Adv. Sci. 2020, 2000992.
https://doi.org/10.1002/advs.202000992. |
|
| M. G. H. Schulte, A. Jeindl, I. Baltaci, P. Roese, M. Schmitz, U. Berges, O.T. Hofmann, C. Westphal,
Structural Investigation of Caffeine Monolayers on Au(111).
Phys. Rev. B 2020, 101 (24), 245414.
https://doi.org/10.1103/PhysRevB.101.245414. |
| 
| L. Hörmann, A. Jeindl, A. T. Egger, M. Scherbela, O. T. Hofmann
SAMPLE: Surface Structure Search Enabled by Coarse Graining and Statistical Learning.
Computer Physics Communications 2019, 244, 143–155.
https://doi.org/10.1016/j.cpc.2019.06.010 |