3 citations · 3 across the 2 of their papers we have counts for
4 papers
New insights into four-boson renormalization group limit cycles
Bastian Kaspschak, Ulf-G. Meißner
Using machine learning techniques, we verify that the emergence of renormalization group limit cycles beyond the unitary limit is transferred from the three-boson subsystems to the…
Three-body renormalization group limit cycles based on unsupervised feature learning
Bastian Kaspschak, Ulf-G. Meißner
Both the three-body system and the inverse square potential carry a special significance in the study of renormalization group limit cycles. In this work, we pursue an exploratory…
A Neural Network Perturbation Theory Based on the Born Series
Bastian Kaspschak, Ulf-G. Meißner
Deep Learning using the eponymous deep neural networks (DNNs) has become an attractive approach towards various data-based problems of theoretical physics in the past decade. There…
How machine learning conquers the unitary limit
Bastian Kaspschak, Ulf-G. Meißner
Machine learning has become a premier tool in physics and other fields of science. It has been shown that the quantum mechanical scattering problem can not only be solved with such…