Publikationsrepositorium - Helmholtz-Zentrum Dresden-Rossendorf
1 PublikationMachine-learning in warm dense matter theory: Neural-net representation of the local field correction
Abstract
I give an introduction to the application of deep neural networks for the surrogate modelling of electron--electron correlations in warm dense matter theory.
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Sonstiger Vortrag
(Online Präsentation)
Forschungsseminar "Vielteilchentheorie - Schwerpunkt machine learning", 10.01.2023, Kiel, Germany
Permalink: https://www.hzdr.de/publications/Publ-36194