65 citations · 216 across the 7 of their papers we have counts for
7 papers
Using HPC infrastructures for deep learning applications in fusion research
Diogo R. Ferreira
In the fusion community, the use of high performance computing (HPC) has been mostly dominated by heavy-duty plasma simulations, such as those based on particle-in-cell and gyrokin…
Deep Learning for the Analysis of Disruption Precursors based on Plasma Tomography
Diogo R. Ferreira, Pedro J. Carvalho, Carlo Sozzi +2
The JET baseline scenario is being developed to achieve high fusion performance and sustained fusion power. However, with higher plasma current and higher input power, an increase…
Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes
The use of deep learning is facilitating a wide range of data processing tasks in many areas. The analysis of fusion data is no exception, since there is a need to process large am…
The Tracking Machine Learning challenge : Accuracy phase
Sabrina Amrouche, Laurent Basara, Paolo Calafiura +24
This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the tr…
Applications of Deep Learning to Nuclear Fusion Research
Diogo R. Ferreira
Nuclear fusion is the process that powers the sun, and it is one of the best hopes to achieve a virtually unlimited energy source for the future of humanity. However, reproducing s…
Full-pulse Tomographic Reconstruction with Deep Neural Networks
Diogo R. Ferreira, Pedro J. Carvalho, Horácio Fernandes
Plasma tomography consists in reconstructing the 2D radiation profile in a poloidal cross-section of a fusion device, based on line-integrated measurements along several lines of s…
Deep learning for plasma tomography using the bolometer system at JET
Francisco A. Matos, Diogo R. Ferreira, Pedro J. Carvalho +1
Deep learning is having a profound impact in many fields, especially those that involve some form of image processing. Deep neural networks excel in turning an input image into a s…