Testing swampland conjectures with machine learning
Abstract We consider Type IIB compactifications on an isotropic torus $$T^6$$ T6 threaded by geometric and non geometric fluxes. For this particular setup we apply supervised machine learning techniques, namely an artificial neural network coupled to a genetic algorithm, in order to obtain more than...
Main Authors: | Nana Cabo Bizet, Cesar Damian, Oscar Loaiza-Brito, Damián Kaloni Mayorga Peña, J. A. Montañez-Barrera |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-08-01
|
Series: | European Physical Journal C: Particles and Fields |
Online Access: | http://link.springer.com/article/10.1140/epjc/s10052-020-8332-9 |
Similar Items
-
Leaving the Swampland: non-geometric fluxes and the distance conjecture
by: Nana Cabo Bizet, et al.
Published: (2019-09-01) -
Swampland Conjectures for strings and membranes
by: Stefano Lanza, et al.
Published: (2021-02-01) -
Reheating after swampland conjecture
by: Vahid Kamali
Published: (2020-01-01) -
Modular symmetries and the swampland conjectures
by: E. Gonzalo, et al.
Published: (2019-05-01) -
Eternal inflation and swampland conjectures
by: Matsui, Hiroki, et al.
Published: (2019)