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E. Greplova, A. Valenti, G. Boschung, F. Schäfer, N. Lörch, and S. Huber, New J. Phys. 22, 045003 (2020)
Machine-learning driven models have proven to be powerful tools for the identification of phases of matter. In particular, unsupervised …
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F. Schäfer, M. A. Bastarrachea-Magnani, A. U. J. Lode, L. de Forges de Parny, and A. Buchleitner, Entropy 22, 382 (2020)
We examine the spectral structure and many-body dynamics of two and three repulsively interacting bosons trapped in a one-dimensional …
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F. Schäfer, F. Eckert and T. Wellens, J. Phys. B 50, 235502 (2017)
We investigate multiple scattering of scalar waves by an ensemble of N resonant point scatterers in three dimensions. For up to N = 21 …
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F. Schäfer and N. Lörch, Phys. Rev. E 99, 062107 (2019)
We introduce an alternative method to identify phase boundaries in physical systems. It is based on training a predictive model such as …
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