Publications
2022
K. Nolte, Y. Gao, S. Stäb, P. Kollmansberger and A. Thorn
"Detecting ice artefacts in processed macromolecular diffraction data with machine learning"
Acta Crystallographica Section D Structural Biology, D78, 187-195 (2022)
DOI: 10.1107/S205979832101202X
2021
L. Broers and L. Mathey
"Optimization of Quantum Algorithm Protocols without Barren Plateaus"
Arxiv, Forthcoming (2021)
DOI: 10.48550/arXiv.2111.08085
T. Croll, K. Diederichs, F. Fischer et al.
"Making the invisible enemy visible"
Nature Structural & Molecular Biology, vol. 28, pp. 404-408 (2021)
DOI: 10.1038/s41594-021-00593-7
N. Käming, A. Dawid, K. Kottmann et al.
"Unsupervised machine learning of topological phase transitions from experimental data"
Machine Learning: Science and Technology, pp. 19 (2021)
A. Thorn
"Artificial Intelligence (AI) Methodologies in Structural Biology"
Current Opinion in Structural Biology, Forthcoming.
2020
M. P. Bahlke, N. Mogos, J. Proppe, Jonny and C. Herrmann
"Exchange Spin Coupling from Gaussian Process Regression"
The Journal of Physical Chemistry A, vol. 124, no. 42, pp. 8708-8723 (2020)
P. Mostosi, H. Schindelin, P. Kollmannsberger and A. Thorn
"Haruspex: A Neural Network for the Automatic Identification of Oligonucleotides and Protein Secondary Structure in Cryo-Electron Microscopy Maps"
Angewandte Chemie (International Edition), no. 59, pp. 14788–14795 (2020)
2019
M. Pyzh, S. Krönke, C. Weitenberg and P. Schmelcher
"Quantum point spread function for imaging trapped few-body systems with a quantum gas microscope"
New journal of physics, vol. 21, no. 053013 (2019)
DOI: 10.1088/1367-2630/ab1ae72018
B. S. Rem, N. Käming, M. Tarnowski et al.
"Identifying Quantum Phase Transitions using Artificial Neural Networks on Experimental Data"
Nature Physics, 15, 917 – 920 (2019)
DOI: 10.1038/s41567-019-0554-0