most citedInstability of wormholes supported by a ghost scalar field. I. Linear stability analysis

191 citations · 323 across the 3 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn20188 cited

Estimation of Reynolds number for flows around cylinders with lattice Boltzmann methods and artificial neural networks

Mauricio Carrillo, Ulices Que, José A. González

The present work investigates the application of Artificial Neural Networks (ANNs) to estimate the Reynolds () number for flows around a cylinder. The data required to train th…

physics.flu-dyn2018

Recognition of an obstacle in a flow using artificial neural networks

Mauricio Carrillo, Ulices Que, José A. González +1

In this work a series of artificial neural networks (ANNs) have been developed with the capacity to estimate an obstacle's size and location obstructing the flow in a pipe. The ANN…

cond-mat.str-el2018

Study of simulated Bloch oscillations in strained graphene using neural networks

J. A. González, C. E. López, A. Raya

We consider a monolayer of graphene under uniaxial, tensile strain and simulate Bloch oscillations for different electric field orientations parallel to the plane of the monolayer…

gr-qc2008124 cited

Instability of wormholes supported by a ghost scalar field. II. Nonlinear evolution

J. A. Gonzalez, F. S. Guzman, O. Sarbach

We analyze the nonlinear evolution of spherically symmetric wormhole solutions coupled to a massless ghost scalar field using numerical methods. In a previous article we have shown…

gr-qc2008191 cited

Instability of wormholes supported by a ghost scalar field. I. Linear stability analysis

J. A. Gonzalez, F. S. Guzman, O. Sarbach

We examine the linear stability of static, spherically symmetric wormhole solutions of Einstein's field equations coupled to a massless ghost scalar field. These solutions are para…