Recent publication highlights

Generative adversarial networks for data-scarce radiative heat transfer applications”,

J.J. García-Esteban, J.C. Cuevas, J. Bravo-Abad

Machine Learning: Science and Technology (2024) [Link to paper, open access]

Emergence of spinon Fermi Arcs in the Weyl-Mott metal-insulator transition”,

M. Fernández López, I. García-Elcano, J. Bravo-Abad, J. Merino

Physical Review B (2024)[Journal][Preprint]

“Tackling multimodal device distributions in inverse photonic design using invertible neural networks”,

M. Frising, J. Bravo-Abad, F. Prins

Machine Learning Science and Technology (2023) [Link to paper, open access]

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

I. García-Elcano, J. Merino, J. Bravo-Abad, A. González-Tudela

Science Advances (2023) [Journal, Open Access]

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

J.J. García-Esteban, J. Bravo-Abad, J.C. Cuevas

Physical Review Applied (2021) [Journal][Preprint]

“Deep learning enabled inverse design in nanophotonics”,

S. So , T. Badloe , J. Noh , J. Bravo-Abad, J. Rho,

Nanophotonics (2020) [Journal, Open Access]

“Tunable and robust long-range coherent interactions between quantum emitters mediated by weyl bound states”,

I. García-Elcano, A. González-Tudela, J. Bravo-Abad

Physical Review Letters (2020) [Journal][Preprint]

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