Search Results for author: A. Galler

Found 2 papers, 1 papers with code

Towards ab initio calculations with the dynamical vertex approximation

1 code implementation • 8 Sep 2017 • A. Galler, J. Kaufmann, P. Gunacker, P. Thunström, J. M. Tomczak, K. Held

While key effects of the many-body problem---such as Kondo and Mott physics---can be understood in terms of on-site correlations, non-local fluctuations of charge, spin, and pairing amplitudes are at the heart of the most fascinating and unresolved phenomena in condensed matter physics.

Strongly Correlated Electrons Materials Science

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Machine learning applied to single-shot x-ray diagnostics in an XFEL

no code implementations • 11 Oct 2016 • A. Sanchez-Gonzalez, P. Micaelli, C. Olivier, T. R. Barillot, M. Ilchen, A. A. Lutman, A. Marinelli, T. Maxwell, A. Achner, M. Agåker, N. Berrah, C. Bostedt, J. Buck, P. H. Bucksbaum, S. Carron Montero, B. Cooper, J. P. Cryan, M. Dong, R. Feifel, L. J. Frasinski, H. Fukuzawa, A. Galler, G. Hartmann, N. Hartmann, W. Helml, A. S. Johnson, A. Knie, A. O. Lindahl, J. Liu, K. Motomura, M. Mucke, C. O'Grady, J-E. Rubensson, E. R. Simpson, R. J. Squibb, C. Såthe, K. Ueda, M. Vacher, D. J. Walke, V. Zhaunerchyk, R. N. Coffee, J. P. Marangos

Using this technique at the Linac Coherent Light Source (LCLS), we report mean errors below 0. 3 eV for the prediction of the photon energy at 530 eV and below 1. 6 fs for the prediction of the delay between two x-ray pulses.

BIG-bench Machine Learning

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