4 citations · 8 across the 3 of their papers we have counts for
3 papers
Deep Reinforcement Learning for Radiative Heat Transfer Optimization Problems
Eva Ortiz-Mansilla, Juan José García-Esteban, Jorge Bravo-Abad +1
Reinforcement learning is a subfield of machine learning that is having a huge impact in the different conventional disciplines, including physical sciences. Here, we show how rein…
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…
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…