edoc

Items where Author is "Schäfer, Frank"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Item Type | Refereed
Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 7.

2022

Arnold, Julian and Schäfer, Frank. (2022) Replacing Neural Networks by Optimal Analytical Predictors for the Detection of Phase Transitions. Physical Review X, 12 (3). 031044.

Schäfer, Frank. Scientific Machine Learning for the Automated Discovery of Quantum Control Schemes and Phase Diagrams. 2022, Doctoral Thesis, University of Basel, Faculty of Science.

2021

Schäfer, Frank and Sekatski, Pavel and Koppenhöfer, Martin and Bruder, Christoph and Kloc, Michal. (2021) Control of stochastic quantum dynamics by differentiable programming. Machine Learning: Science and Technology, 2 (3). 035004.

2020

Schäfer, Frank and Kloc, Michal and Bruder, Christoph and Lörch, Niels. (2020) A differentiable programming method for quantum control. Machine Learning: Science and Technology, 1 (3). 035009.

Schäfer, Frank and Bastarrachea-Magnani, Miguel A. and Lode, Axel U. J. and de Forges de Parny, Laurent and Buchleitner, Andreas. (2020) Spectral Structure and Many-Body Dynamics of Ultracold Bosons in a Double-Well. Entropy, 22 (4). p. 382.

Greplova, Eliska and Valenti, Agnes and Boschung, Gregor and Schäfer, Frank and Lörch, Niels and Huber, Sebastian D.. (2020) Unsupervised identification of topological phase transitions using predictive models. New Journal of Physics, 22. 045003.

2019

Schäfer, Frank and Lörch, Niels. (2019) Vector field divergence of predictive model output as indication of phase transitions. Physical review E, 99 (6). 062107.

This list was generated on Thu Apr 25 07:29:14 2024 CEST.