PiAI Seminar Series

- Physics informed Artificial Intelligence in Plasma Science
Summer Season will start from 9 May  (Monday), 2022.
The seminar time is 10:00-11:00 Central European Summer Time (CEST) / 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

2022 Summer Season, starting time 10:00 (CEST) / 17:00 (JST) (unless otherwise stated)
  • No seminar on 27 June, 2022 (Mon)

  • No seminar on 4 July, 2022 (Mon)

  • 11 July, 2022 (Mon) 7:00 Los Alamos (MDT)/ 15:00 (CEST)/ 22:00 (JST)
    Jeph Wang, Los Alamos National Laboratory, New Mexico, USA
    "“6H” X-ray imaging frontiers and some recent highlights"
    abstract

2022 Winter Season
  • 26 September, 2022 (Mon)
    Masanori Nunami, National Institute for Fusion Science(NIFS), Toki, Gifu, Japan
    "Functional relation for turbulent transport in magnetized plasma" (tentative)

  • 17 October,2022 (Mon)

  • 24 October,2022 (Mon)

  • 31 October,2022 (Mon)

  • 14 November, 2022 (Mon)
    Nigel Mason, University of Kent, Kent, United Kingdom
    "TBA"

  • 21 November, 2022 (Mon)
    Ryotaro Ishikawa, National Astronomical Observatory of Japan, Tokyo, Japan
    "Multi-scale deep learning for estimating horizontal velocity fields on the solar surface"

Sponsors


Past Seminars

  • 20 June, 2022 (Mon)
    Emmanuel Frenod, Laboratoire de Mathématiques de Bretagne-Atlantique (LMBA UMR6205), Université Bretagne Sud - Vannes – France & See-d - Vannes – France
    "Artificial Intelligence for Enterprises via examples"
    abstract
    presentation file
    video

  • 13 June, 2022 (Mon)
    Stephen Wu, The Institute of Statistical Mathematics, Tokyo, Japan
    "Bayesian uncertainty quantification of physical models and its engineering applications"
    abstract
    presentation file
    video

  • No seminar on 6 June, 2022 (Mon)

  • 30 May, 2022 (Mon)
    Markus Becker, Leibniz Institute for Plasma Science and Technology (INP), Greifswald, Germany
    "Supporting data-driven plasma science by implementation of the FAIR data principles"
    abstract
    presentation file
    video

  • 23 May, 2022 (Mon) 8:00 Boston (EDT)/14:00 (CEST)/21:00 (JST)
    Peter Baddoo, Massachusetts Institute of Technology, Massachusetts, USA
    "physics informed dynamic mode decomposition"
    abstract
    presentation file
    video

  • No seminar on 16 May, 2022 (Mon)

  • 09 May, 2022 (Mon) 9:30 (CEST)/16:30 (JST)
    Giovanni Lapenta, University of Leuven, Belgium
    "Combining Machine Learning and Physics-based Simulation to make new theoretical insight in plasma and space physics"
    abstract
    presentation file
    video

  • 21 February, 2022 (Mon)
    Satoru Kawaguchi, Seikei University, Tokyo, Japan
    "Physics-informed neural network for elucidating electron swarm transport in weakly ionized plasmas"
    abstract
    presentation file
    video

  • 14 February, 2022 (Mon)
    Maria Elena Innocenti, Ruhr-Universität Bochum, Germany
    "Unsupervised classification of simulated data"
    abstract
    presentation file
    video

  • 7 February, 2022 (Mon)
    Linlin Zhong, Southeast University, Jiangsu, China
    "Runge-Kutta Physics Informed Neural Network (RK-PINN) for solving plasma PDEs with transient terms"
    abstract
    presentation file
    video

  • 31 January, 2022 (Mon)
    Shinya Maeyama, Nagoya University, Japan
    "Mori-Zwanzig projection operator method as a statistical analysis of multivariate time-series data"
    abstract
    presentation file
    video
    *Due to a technical problem, the session starts from 7:30. Please skip to 7:30.

  • 24 January, 2022 (Mon)
    Tianbai Xiao, Karlsruhe Institute of Technology, Germany
    "On scientific machine learning of kinetic theory and fluid dynamics"
    abstract
    presentation file
    video

  • 17 January, 2022 (Mon)
    Ryo Yoshida, The Institute of Statistical Mathematics., Tokyo, Japan
    "Scientific Understanding from Machine Learning in Materials Science"
    abstract
    presentation file
    video

  • No seminar on 20 December, 2021~10 January, 2022

  • 13 December, 2021 (Mon) * 14:00 (CET), 22:00 (JST) 8:00 (EST)
    Sebastian De Pascuale, Oak Ridge National Laboratory(ORNL)., Tennessee, USA
    "Data-Driven Model Predictive Control of Plasma Edge Simulations using SOLPS-ITER"
    abstract
    presentation file
    video

  • 6 December, 2021 (Mon)
    Masato Shirasaki, The National Astronomical Observatory of Japan, The Institute of Statistical Mathematics, Tokyo, Japan
    "Denoising of Cosmic Large-scale Structures"
    abstract
    presentation file
    video

  • No seminar on 29 November, 2021

  • 22 November, 2021 (Mon)
    Fidel Cacheda, Universidade da Coruña, Spain
    "Early Detection of Anomalies: Introducing a new problem"
    abstract
    presentation file
    video

  • 15 November, 2021 (Mon)
    Yuya Morishita, Kyoto University, Japan
    "ASTI: Data Assimilation System for Particle and Heat Transport in Toroidal Plasmas"
    abstract
    presentation file
    video

  • 8 November, 2021 (Mon)
    Nathaniel Saura, Aix Marseille Univ., France
    "Using 3D convolutional neural network to build a subgrid stress tensor model in homogeneous isotropic turbulence"
    abstract
    presentation file
    video
    *Due to a technical problem, the beginning part of the seminar was not recorded. Please refer to the presentation material for the missing part. We apologize for the inconvenience.

  • 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
    presentation file

  • 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
    presentation file

  • 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
    presentaion file

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

  • 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

  • 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

  • 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

  • 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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