activity
20192025
most citedGraph neural networks for materials science and chemistry

34 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

physics.optics2025★ 1 cited

Spatial mapping of intrinsic and readout nonlinearities in a strongly-driven micromechanical membrane

Timo Sommer, Agnes Zinth, Aditya +1

Recently, it was shown that strongly driven micromechanical resonators show mode shapes that strongly differ from the eigenmodes. This raises the question of the origin of this non…

cond-mat.supr-con2022

3DSC - A New Dataset of Superconductors Including Crystal Structures

Timo Sommer, Roland Willa, Jörg Schmalian +1

Data-driven methods, in particular machine learning, can help to speed up the discovery of new materials by finding hidden patterns in existing data and using them to identify prom…

physics.chem-ph2022★ 34 cited

Graph neural networks for materials science and chemistry

Patrick Reiser, Marlen Neubert, André Eberhard +8

Machine learning plays an increasingly important role in many areas of chemistry and materials science, e.g. to predict materials properties, to accelerate simulations, to design n…

physics.optics2021★ 11 cited

Aluminum nitride integration on silicon nitride photonic circuits: a new hybrid approach towards on-chip nonlinear optics

Giulio Terrasanta, Timo Sommer, Manuel Müller +3

Aluminum nitride (AlN) is an emerging material for integrated quantum photonics due to its large nonlinearity. Here we demonstrate the hybrid integration of AlN on silico…

physics.app-ph2021★ 7 cited

Efficient optomechanical mode-shape mapping of micromechanical devices

David Hoch, Kevin-Jeremy Haas, Leopold Moller +4

We demonstrate a method to optically map multiple modes of mechanical structures simultaneously. The fast and robust method, based on a modified phase-lock-loop, is demonstrated on…

cond-mat.mtrl-sci2021★ 5 cited

Growth of Aluminum Nitride on a Silicon Nitride Substrate for Hybrid Photonic Circuits

G. Terrasanta, M. Müller, T. Sommer +4

Aluminum nitride (AlN) is an emerging material for integrated quantum photonics with its excellent linear and nonlinear optical properties. In particular, its second-order nonlinea…

physics.optics2019

The limits for complete photonic bandgaps in low-contrast media

Lukas Maiwald, Timo Sommer, Marvin Schulz +2

The minimal refractive index contrast to obtain a complete photonic bandgap (CPBG) in structured media was not identified so far. We address this problem by considering distributed…