PiAI Seminar Series

- Physics informed Artificial Intelligence in Plasma Science
Unless stated otherwise, the seminar time from April, 10:00 -11:00 CEST/17:00-18:00 JST on Monday (Online)

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

Unless stated otherwise, the seminar time from April, 10:00 -11:00 CEST/17:00-18:00 JST on Monday (Online)

  • 8 April, 2024 (Mon) *10:00 CEST/17:00 JST
    Mayuko Koga, University of Hyogo, Himeji, Japan
    "Image Reconstruction of Lensless Microwave Cameras Using Machine Learning"
    abstract

  • 15 April, 2024 (Mon) *8:00 EDT/14:00 CEST/21:00 JST
    Fanglin Che, University of Massachusetts Lowell, MA, USA
    "Machine Learning Boosted Design of Plasma-Enhanced Catalytic Ammonia Cracking"
    abstract

  • 22 April, 2024 (Mon) *7:00 CDT/14:00 CEST/21:00 JST
    Allison Harris, Illinois State University Physics, IL, USA
    "TBA"

  • 27 May, 2024 (Mon) *10:00 CEST/13:30 IST/ 17:00 JST
    Bhaskar Chaudhury, DA-IICT, Gujarat, INDIA
    "Deep Learning assisted analysis of Microwave-Plasma interaction and its Applications"

  • 10 June, 2024 (Mon) *10:00 CEST/16:00 CST / 17:00 JST
    Yantao Xia, Chinese Academy of Sciences, Beijing, China
    "TBA"

  • 17 June, 2024 (Mon) *9:00 EDT/15:00 CEST/22:00 JST
    Paolo Elvati, University of Michigan, Ann Arbor, MI, USA
    "TBA"

Sponsors


Past Seminars

  • 18 March, 2024 (Mon)
    Adam Obrusník, PlasmaSolve Co., Brno, Czech Republic
    "Coupling high-fidelity simulation and machine learning to bridge the gap between plasma simulation and material properties in PVD coating equipment."
    abstract
    presentation file
    video

  • 11 March, 2024 (Mon)
    Ken Hara, Aeronautics and Astronautics, Stanford University, CA, USA
    "State and parameter estimation of low temperature plasmas using data assimilation"
    abstract
    presentation file
    video

  • 4 March, 2024 (Mon)
    Ihda Chaerony Siffa, Leibniz-Institut für Plasmaforschung und Technologie e.V. (INP), Deutschland
    "Towards a Machine-Learned Poisson Solver for Low-Temperature Plasma Simulations in Complex Geometries"
    abstract
    presentation file
    video

  • 26 February, 2024 (Mon)
    Takashi Nishizawa, Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
    "Simultaneous inference of multiple plasma parameter profiles by utilizing transport properties"
    abstract
    presentation file
    video

  • 5 February, 2024 (Mon)
    Byungjo Kim, Ulsan National Institute of Science and Technology, Korea
    "Multiscale Design for Optimizing Semiconductor Process using Computational Science and Artificial Intelligence"
    abstract
    video

  • 29 January, 2024 (Mon)
    Alvin Garcia, Princeton University, New Jersey, USA
    "Applications of Artificial Intelligence to Energetic Particle Physics on the DIII-D National Fusion Facility"
    abstract
    presentation file
    video

  • 22 January, 2024 (Mon)
    Jinseok Kim, Tokyo Electron Technology Solutions Limited, Yamanashi, Japan
    "Numerical Strategy for Solving the Boltzmann Equation with variable E/N using Physics-informed Neural Networks"
    abstract
    video

  • 15 January, 2024 (Mon)
    Minoru Kusaba, The Institute of Statistical Mathematics, Tokyo, Japan
    "Bayesian kernel regression for functional data"
    abstract
    presentation file
    video

  • 20 November, 2023 (Mon)
    Li Lin, The George Washington University, USA
    "From Physics-Informed Plasma Chemistry to Plasma-Based Intelligence"
    abstract
    presentation file
    video

  • 19 June, 2023 (Mon)
    Tobias Gergs, Ruhr University Bochum, Germany
    "Machine Learning Surrogate Models for Plasma-Surface Interactions"
    abstract
    presentation file
    video

  • 12 June, 2023 (Mon)
    Makoto Yamada, Okinawa Institute of Science and Technology Graduate University(OIST), Japan
    "Nonlinear Statistical Modeling for High-Dimensional and Small Sample Data"
    abstract
    video

  • 5 June, 2023 (Mon)
    Aaro Järvinen, VTT Technical Research Centre of Finland
    "Application of Bayesian optimization for accelerating model validation"
    abstract
    presentation file
    video

  • 23 January, 2023 (Mon)
    Jeff Schneider, Carnegie Mellon University, Pittsburgh, PA, USA
    "Reinforcement Learning for Nuclear Fusion in Tokamaks"
    abstract
    presentation file
    video

  • 16 January, 2023 (Mon)
    Anne Sergent, Sorbonne University, Paris. LISN, Paris-Saclay Université, Orsay, France
    "Physics-informed neural networks modeling of turbulent natural convection"
    abstract
    presentation file
    video

  • 28 November, 2022
    Thibault Oujia, Aix-Marseille Université, Marseille, France
    "Physics-informed neural networks for synthesizing preferential concentration of particles in isotropic turbulence"
    abstract
    presentation file
    video

  • 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"
    abstract
    presentation file
    video

  • 14 November, 2022 (Mon)
    Nigel Mason, University of Kent, Kent, United Kingdom
    "Atomic and Molecular data for Plasma Science: What we know and what we need."
    abstract
    video

  • 31 October,2022 (Mon)
    Jonathan Tennyson, University College London, United Kingdom
    "Collisional and radiative molecular data for plasma models"
    abstract
    presentation file
    video

  • 24 October,2022 (Mon)
    Michael Churchill, Princeton Plasma Physics Laboratory, USA
    "Normalizing flows for likelihood-free inference with fusion simulations"
    abstract
    presentation file
    video

  • 17 October,2022 (Mon)
    Adam Kit, The University of Helsinki, Finland
    "Developing Deep Learning Algorithms for Inferring Upstream Separatrix Density at JET"
    abstract
    presentation file
    video

  • 26 September, 2022 (Mon)
    Masanori Nunami, National Institute for Fusion Science(NIFS), Toki, Gifu, Japan
    "Functional relation and structure of distribution function in plasma turbulent transport"
    abstract
    presentation file
    video

  • 11 July, 2022 (Mon)
    Jeph Wang, Los Alamos National Laboratory, New Mexico, USA
    "“6H” X-ray imaging frontiers and some recent highlights"
    abstract
    video

  • No seminar on 4 July, 2022 (Mon)

  • No seminar on 27 June, 2022 (Mon)

  • 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)
    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)
    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)
    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
    presentation file

  • 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)
    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)
    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)
    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)
    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)
    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)
    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)
    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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