Publications of F. Matos
All genres
Journal Article (7)
2022
Journal Article
62, 042018 (2022)
Overview of the TCV tokamak experimental programme. Nuclear Fusion
Journal Article
62, 042006 (2022)
Progress from ASDEX Upgrade experiments in preparing the physics basis of ITER operation and DEMO scenario development. Nuclear Fusion 2021
Journal Article
61, 046019 (2021)
Plasma confinement mode classification using a sequence-to-sequence neural network with attention. Nuclear Fusion 2020
Journal Article
60, 036022 (2020)
Classification of tokamak plasma confinement states with convolutional recurrent neural networks. Nuclear Fusion
Journal Article
91, 103501 (2020)
Deep learning for Gaussian process soft x-ray tomography model selection in the ASDEX Upgrade tokamak. Review of Scientific Instruments 2019
Journal Article
59, 112023 (2019)
Physics research on the TCV tokamak facility: from conventional to alternative scenarios and beyond. Nuclear Fusion
Journal Article
59, 086020 (2019)
Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade. Nuclear Fusion Meeting Abstract (1)
2019
Meeting Abstract
(VI) 55 (1), P 21.4. DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Hannover, March 08, 2020 - March 13, 2020. DPG, Bad Honnef (submitted)
Classification of tokamak plasma confinement states with convolutional recurrent neural networks. In: Verhandlungen der Deutschen Physikalischen Gesellschaft, Talk (2)
2019
Talk
Plasma State Classification and ELM detection using Convolutional Long Short-Term Memory Neural Networks. 2nd International Conference on Data Driven Plasma Science (ICDDPS), Marseille (submitted)
Talk
Deep Neural Networks for Gaussian Process Tomography at the ASDEX Upgrade Tokamak. 3rd International Conference on Data-Driven Plasma Science (ICDDPS-3), Virtual (submitted)
Poster (3)
2021
Poster
Real-time recognition of plasma confinements states in the TCV Tokamak and transfer learning using ML models. 47th EPS Conference on Plasma Physics, Virtual (2021)
2018
Poster
Convolutional LSTMs for Plasma State Classification. DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), München (submitted)
2017
Poster
Deep Learning for Plasma Diagnostics. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion AMOP, Erlangen (submitted)
Thesis - PhD (1)
2021
Thesis - PhD
Deep Learning for Tomography, State Classification and Event Detection in Nuclear Fusion Plasmas. Dissertation, 228 pp., Technische Universität München, München (2021)