1st Workshop on Artificial Intelligence in Plasma Science Presentation List
20 September 2021
- Satoshi Hamaguchi, Osaka University, Japan
"Plasma processing and data science"
Presentation file
- Yasuhiro Kuramitsu, Osaka University, Japan
"Data driven optimizations on laser ion acceleration"
Presentation file
- Tatsuya Yokoyama, The University of Tokyo, Japan
"Data-driven prediction of radiative collapse for avoidance in fusion plasmas"
Presentation file
- Kai Schneider, Aix-Marseille Université, France
"Wavelets and turbulence: coherent vorticity extraction and a wavelet-based CNN3d for superresolution of turbulent vorticity"
Presentation file
- Satoshi Odachi, National Institute for Fusion Science (NIFS), Japan
"Tomographic reconstruction of the tangential viewing image of the toroidal plasma -- Comparison of non-stationary Gaussian Process method and the orthogonal decomposition method with L1 regularization"
Presentation file
- Andrés de Bustos, Researcher at Laboratorio Nacional de Fusión - CIEMAT, Spain
"Automatic identification of MHD modes in magnetic fluctuation spectrograms using deep learning techniques"
Presentation file
- Nathaniel Saura, Aix-Marseille Université, France
"Modeling of the Subgrid Stress Tensor in Homogeneous Isotropic Turbulence using 3D Convolutional Neural Network"
Presentation file
- Kenzo Ibano, Osaka University, Japan
"Effects of transient loads to first wall armors"
Presentation file
- Abdulrahman H. Basher, Osaka University, Japan
"Mechanisms of Thermal Atomic Layer Etching (ALE) for Metals"
Presentation file
- Akito Ono, Osaka University, Japan
"Predicting the angular dependence of sputtering using machine learning"
Presentation file
- Yannick Marandet, Aix-Marseille Université, France
"Review of the French national fusion science program"
Presentation file
21 September 2021
- Lars Banko, Ruhr-Universität Bochum, Germany
"Application of deep learning in material science"
Presentation file
- Masayuki Yokoyama, National Institute for Fusion Science (NIFS), Japan
"Plausible exploitation of statistical approaches on fusion science"
Presentation file
- Makoto Sasaki, Nihon University, Japan
"Quantification and visualization of energy transfer among turbulent structures based on singular value decomposition"
Presentation file
- Kunihiro Kamataki, Kyushu University, Japan
"Predictive analytics in plasma process using machine learning tools ant techniques"
- Jan Trieschmann, Brandenburg University of Technology Cottbus-Senftenberg, Germany
"Machine learning sputtering models for linking surface and plasma simulations"
Presentation file
- Giuseppe A. Rattá Gutiérrez, Researcher at Laboratorio Nacional de Fusión - CIEMAT, Spain
"Disruption prediction strategy for mitigation, prevention and avoidance at JET using machine learning techniques"
Presentation file
- Lenka Zajickova, Masaryk University, Czech Republic
"Self-organization phenomena in cold atmospheric pressure plasmas"
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- Kentaro Sakai, Osaka University, Japan
"Collective Thomson scattering analysis with Markov chain Monte Carlo"
Presentation file
- Takumi Minami, Osaka University, Japan
"Development of real-time ion detection system using scintillators for laser-driven GeV energy ions"
Presentation file
22 September 2021
- Daiji Kato, National Institute for Fusion Science (NIFS), Japan
"Statistical properties of atomic structures of r-process elements"
- Jesus Vega, Researcher at Laboratorio Nacional de Fusión - CIEMAT, Spain
"Disruption predictors in nuclear fusion by using machine learning methods: an overview"
Presentation file
- Sadruddin Benkadda, Aix-Marseille Université, France
"Physics Informed Artificial Intelligence"
- Andrea Rigoni, Consorzio RFX, Italy
"Variational autoencoders for real-time diagnostic data integration"
Presentation file
- Masakazu Ichikawa, Osaka University, Japan
"Regression models of low-temperature plasma profiles"
Presentation file
- Koh Matsumoto, Osaka University, Japan
"Estimation of elemental composition of plasma by emission spectrum analysis using machine learning"
Presentation file
- Tomoya Taguchi, Osaka University, Japan
"Analysis of solid-state nuclear track detectors using machine learning"
Presentation file
