activity
20032024
most citedEnhanced millimiter wave transmission through subwavelength hole arrays

178 citations · 846 across the 22 of their papers we have counts for

collaborators

22 papers

quant-ph2024★ 1 cited

Long-range interactions in Weyl dense atomic arrays protected from dissipation and disorder

Iñaki García-Elcano, Paloma A. Huidobro, Jorge Bravo-Abad +1

Long-range interactions are a key resource in many quantum phenomena and technologies. Free-space photons mediate power-law interactions but lack tunability and suffer from decoher…

cond-mat.str-el2023★ 3 cited

Emergence of Spinon Fermi Arcs in the Weyl-Mott Metal-Insulator Transition

Manuel Fernández López, Iñaki García-Elcano, Jorge Bravo-Abad +1

The Weyl-Mott insulator (WMI) has been postulated as a novel type of correlated insulator with non-trivial topological properties. We introduce a minimal microscopic model that cap…

physics.optics2023★ 1 cited

Generative adversarial networks for data-scarce spectral applications

Juan José García-Esteban, Juan Carlos Cuevas, Jorge Bravo-Abad

Generative adversarial networks (GANs) are one of the most robust and versatile techniques in the field of generative artificial intelligence. In this work, we report on an applica…

quant-ph2022★ 10 cited

Probing and harnessing photonic Fermi arc surface states using light-matter interactions

Iñaki García-Elcano, Jaime Merino, Jorge Bravo-Abad +1

Fermi arcs, i.e., surface states connecting topologically-distinct Weyl points, represent a paradigmatic manifestation of the topological aspects of Weyl physics. Here, we investig…

cs.LG2022

Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks

Michel Frising, Jorge Bravo-Abad, Ferry Prins

Inverse design, the process of matching a device or process parameters to exhibit a desired performance, is applied in many disciplines ranging from material design over chemical p…

physics.optics2021★ 3 cited

Deep learning for the modeling and inverse design of radiative heat transfer

Juan José García-Esteban, Jorge Bravo-Abad, Juan Carlos Cuevas

Deep learning is having a tremendous impact in many areas of computer science and engineering. Motivated by this success, deep neural networks are attracting an increasing attentio…