PiAI Seminar Series

- Physics informed Artificial Intelligence in Plasma Science
Spring Season will start from 19 April (Monday), 2021.
The seminar time is 10:00-11:00 Central European Summer Time (CET) / 17:00-18:00 Japan Standard Time (JST) on Monday (Online), if not stated otherwise.


This Seminar Series aims at promoting application of data-driven science and artificial intelligence (AI), including machine learning, to plasma science. The seminars are open to any interested scientists and students. If you are interested in participating in the seminar, please contact us at the following e-mail address;
core@ppl.eng.osaka-u.ac.jp

Satoshi Hamaguchi (Osaka University)
Sadruddin Benkadda (Aix-Marseille University)

Future Seminars

  • 14 June, 2021 (Mon)
    Hideo Nagatomo, Institute of Laser Engineering, Osaka University, Osaka, Japan
    "Real-time sensing of laser ablation plasma using machine learning"
    abstract

  • 05 July, 2021 (Mon)
    Hae June Lee, Department of Electrical Engineering, Pusan National University, Pusan, S. Korea
    "ML of the nonlinear dynamics and chaos in a one-dimensional plasma diode system"
    abstract

  • 12 July, 2021 (Mon)
    Katharina Rath, Max Planck Institute for Plasma Physics, Greifswald, Germany
    Department of Statistics, Ludwig-Maximilians-Universität München, Germany
    "Symplectic Gaussian process regression of maps in Hamiltonian systems"
    abstract

Sponsors


Past Seminars

  • 07 June, 2021 (Mon)
    Kenji Doya, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
    "Toward Data-driven Brain Science"
    abstract
    presentaion file
    video

  • 31 May, 2021 (Mon)
    Samuele Mazzi, Aix-Marseille University, Marseille, France
    "Parametric Validation of the Reservoir-Computing-Based Machine Learning Algorithm Applied to Lorenz System Reconstructed Dynamics"
    abstract
    presentation file
    video

  • 17 May, 2021 (Mon)
    Naoki Kenmochi, National Institute for Fusion Science(NIFS), Toki, Gifu, Japan
    "Plasma diagnostics and heating control with generative adversarial networks"
    abstract
    presentation file
    video

  • 19 April, 2021 (Mon)
    Akira Sasaki, Kansai Photon Science Institute, National Institutes for Quantum and Radiological Science and Technology, Kizugawa, Kyoto, Japan
    "Computational methods to construct an accurate and complete atomic model of complex multiple charged ion of heavy elements"
    abstract
    presentation file
    video

  • 22 February, 2021 (Mon)
    Linlin Zhong, Southeast University, Nanjing, China
    "A Dual Neural Network Framework for Plasma Simulation"
    abstract
    presentation file

  • 15 February, 2021 (Mon)
    Andrea Rigoni, Consorzio RFX (CNR ENEA INFN, Università di Padova, Acciaierie Venete SpA), Padova, Italy
    "Diagnostic data integration using deep neural networks for real-time plasma analysis"
    abstract
    presentation file

  • 08 February, 2021 (Mon)
    Rossella Arcucci, Data Science Institute, Imperial College London, UK
    "Data Learning: Integrating Data Assimilation and Machine Learning in real world applications"
    abstract
    presentation file

  • 01 February, 2021 (Mon)
    Jan Trieschmann, Brandenburg University of Technology, Cottbus, Germany
    "Machine learning plasma-surface interface for sputtering simulations"
    abstract

  • 25 January, 2021 (Mon)
    Ryo Onishi, Tokyo Institute of Technology, Global Scientific Information and Computing Center, Tokyo, Japan
    "Physics-informed super-resolution for real-time prediction of urban micro-meteorology"
    abstract
    presentation file

  • 14 December, 2020 (Mon)
    Manuela Sisti, Aix-Marseille University, Marseille, France
    "Using unsupervised machine learning techniques to detect magnetic reconnection events in 2D plasma simulations and 1D time-series"
    abstract
    presentation file

  • 07 December, 2020 (Mon)
    Francesco A. Volpe, Renaissance Fusion, Grenoble, France
    "Proposed Stellarator Simplification by ML/AI"
    abstract

  • 30 November, 2020 (Monday) 17:30(JST) -
    Sixin Zhang, CNRS & Université de Toulouse, Toulouse, France
    "Statistical maximum-entropy models for turbulence generation"
    abstract
    presentation file

  • No seminar on 23 Nov. 2020

  • 16 November, 2020 (Monday) 17:30(JST) -
    Emi Narita, National Institute for Quantum and Radiological Science and Technology (QST), Naka, Japan
    "Neural-network assisted transport simulations of fusion plasmas"
    abstract
    presentation file

  • 09 November, 2020 (Monday) 17:30(JST) -
    Keisuke Fujii, Kyoto University, Kyoto, Japan
    "Statistical properties of electromagnetic emission lines from many-electron atoms and heavy nuclei"
    abstract
    presentation file

  • 02 November, 2020 (Monday) 17:30(JST) -
    Masayuki Yokoyama, National Institute for Fusion Science (NIFS), Toki, Japan
    "Statistical Modelling of the thermal transport of fusion plasmas based on the transport analysis database"
    abstract
    presentation file

  • 6 July, 2020 (Monday)
    Jonathan Citrin, Dutch Institute for Fundamental Energy Research, Eindhoven, The Netherlands
    "Neural network surrogate modelling of tokamak turbulence"
    abstract
    presentation file

  • 29 June, 2020 (Monday)
    Valeria Jana Schwanitz, Western Norway University of Applied Sciences, Norway
    "Towards FAIR and open metadata in energy science - An overview from the low carbon energy research community and first experiences from the H2020 project EERAdata"
    abstract
    presentation file

  • 22 June, 2020 (Monday)
    Tatsuya Yokoyama, University of Tokyo, Japan
    "Prediction and feature extraction of radiation collapse in LHD using machine learning and sparse modeling"
    abstract
    presentation file

  • 15 June, 2020 (Monday)
    Kai Schneider, Aix-Marseille University, France
    "Particle laden turbulence: Analysis of clustering using multiscale techniques including tools from machine learning"
    abstract
    presentation file

  • 08 June, 2020 (Monday)
    Achim von Keudell, Ruhr University of Bochum, Germany
    "Data analysis demands in the investigation of instabilities and waves in high power impulse magnetron sputtering."
    abstract
    presentation file

  • No Seminar on 01 June (Monday)

  • 25 May, 2020 (Monday)
    Martin Brenzke, Forschungszentrum Jülich, Germany
    "Development of Surrogate Models for Divertor Power Load Prediction Based on Machine Learning Techniques"
    abstract
    presentation file

  • 18 May, 2020 (Monday)
    Udo von Toussaint, Max Planck Institute for Plasma Physics, Germany
    "A Bayesian Approach to Artificial Neural Networks"
    abstract
    presentation file

  • 11 May, 2020 (Monday) 17:00(JST) -
    Dirk Reiser, Forschungszentrum Jülich, Germany
    "Data Driven PDE Model Discovery : Applications to Surface Erosion Dynamics and Catalytic Reaction Kinetics"
    abstract
    presentation file

  • No seminar on 4 May (Monday)

  • 27 April, 2020 (Monday) 17:00(JST) -
    Toyohiro Chikyo, National Institute for Materials Science, Japan
    "How we can increase the data for the Materials Informatics -challenge for data sharing scheme-"
    abstract
    presentation file

  • 20 April, 2020 (Monday) 17:00(JST) -
    Satoshi Hamaguchi, Osaka University, Japan
    "Prediction of Physical Sputtering Yields for New Materials and an Understanding of Underlying Physics by Machine Learning"
    abstract
    presentation file

    Kenzo Ibano, Osaka University, Japan
    "Machine learning for PWI and helium-induced nanostructures"
    abstract
    presentation file

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