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Home » Institute » Departments & Research Groups » Computational Design of Functional Interfaces

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Department

Computational Design of Functional Interfaces

Our department works on the development of many-body treatments for theoretical spectroscopy combined with machine learning and crystal structure prediction to understand the electronic properties of existing materials and design improved materials and functional interfaces. Our recent research activities focus on materials for energy production, storage and saving.


Silvana BottiRUB, Marquard
Prof. Dr. Silvana Botti

Professor

Room: ZGH 00/113
Tel.: +49 234 32 28773
E-Mail: silvana.botti@rub.de




Research

This website is under construction!
Publications of the group can currently be found following the external link below:
https://orcid.org/0000-0002-4920-2370

Illustration of the atomic cluster expansion..
Members
  • Amir, Muhammad
  • Aouina, Dr. Ayoub
  • Benedini, M. Sc. Giulio
  • Bhumla, Dr. Preeti
  • Botti, Prof. Dr. Silvana
  • Klein, Patrick
  • Kowolik, Deborah
  • Mao, Dr. Yuncheng
  • Sun, M.Sc. Dewen
  • Tancogne-Dejean, Nicolas
  • Werner, Alina
  • Zehl, Rico
Recent Publications
  • P. Pires, P. De Breuck, H. Wang et al. Machine learning accelerated exploration of the global high pressure phase diagram. Materials Today, 100B, 103523, (2026)
  • R. Farina, H. Ameziane, V. van Lange et al. Crystal phase engineering and light emission from 4H-SiGe nanowires. ACS Nanoscience Au, 6, 895–902, (2026)
  • G. Trenins, N. Tancogne-Dejean, A. Mondal et al. High-harmonic generation probes quantum nuclear fluctuations in liquid water. arXiv: 2610.19967, xx, xx, (2026)
  • T. Bispo Da Silva, H. Wang, T. F. T. Cerqueira et al. High-throughput study of electrical conductivity in ordered metals. npj Computational Materials, 12, 346, (2026)
  • J. Wolff, S. Botti, L. Reining et al. Fingerprints of excitonic collective modes in the two-dimensional electron gas. Physical Review B, 114, L231302, (2026)
  • P. De Breuck, T. Bispo Da Silva, A. Loew et al. Pressure-transferable universal machine-learning potentials: the WBM-MatPES benchmark and Tuga-FF. arXiv: 2610.14891, 1, 2610, (2026)

All publications

Contact and Office Hours

Department Computational Design of Functional Interfaces

Ruhr-Universität Bochum
Universitätsstr. 150
44801 Bochum
Germany

Building/Room: ZGH 00-111

E-Mail: silvana.botti@rub.de

PA: Deborah Kowolik
Tel: +49 234 32 17776
E-Mail: codefi@rub.de

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Ruhr-Universität Bochum
Universitätsstraße 150
44801 Bochum

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