Speaker
Stijn Hennissen
(Radboud University)
Description
We provide a novel computational method for constructing the UV-critical surface along the lines of [arXiv:2403.08541]. Using physics informed neural networks to learn flow invariants, we recover the UV-critical surface all at once. The method is successfully applied to a UV-critical surface for an asymptotically safe scalar-tensor theory, where we predict the IR effective field theory. We argue that these types of networks are highly efficient computational tools extracting physics from flow equations.
| Affiliation | Radboud University |
|---|---|
| Career status | Student |
Author
Stijn Hennissen
(Radboud University)
Co-author
Frank Saueressig
(Radboud University)