PiAI Seminar Series
- Physics informed Artificial Intelligence in Plasma Science
The next seminar will be in the fall. Details will be announced shortly.
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)
The next seminar will be in the fall. Details will be announced shortly.
- 17 June, 2024 (Mon)
Paolo Elvati, University of Michigan, Ann Arbor, MI, USA
"Machine Learning Enabled Prediction of Nanoparticle Growth in Nonthermal Plasmas: Bridging the Gap Between Atomistic and Continuum Scales"
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- 10 June, 2024 (Mon)
Yantao Xia, Hangzhou Institute of Medicine Chinese Academy of Sciences, Hangzhou, Zhejiang, China
"Accurate atomistic morphology of plasma-oxidized copper using physics-informed neural network potentials"
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- 3 June, 2024 (Mon)
Matilde Valente and Marcelo Gonçalves, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal
"Deep Learning for Plasma Chemistry Modelling"
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- 27 May, 2024 (Mon)
Bhaskar Chaudhury, DA-IICT, Gandhinagar, INDIA
"Deep Learning assisted analysis of Microwave-Plasma interaction and its Applications"
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- 22 April, 2024 (Mon)
Allison Harris, Illinois State University Physics, IL, USA
"A Machine Learning Model for Estimating Electron- and Proton-Impact Collision Cross Sections"
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- 15 April, 2024 (Mon)
Fanglin Che, University of Massachusetts Lowell, MA, USA
"Machine Learning Boosted Design of Plasma-Enhanced Catalytic Ammonia Cracking"
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- 8 April, 2024 (Mon)
Mayuko Koga, University of Hyogo, Himeji, Japan
"Image Reconstruction of Lensless Microwave Cameras Using Machine Learning"
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- 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."
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- 11 March, 2024 (Mon)
Ken Hara, Aeronautics and Astronautics, Stanford University, CA, USA
"State and parameter estimation of low temperature plasmas using data assimilation"
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- 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"
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- 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"
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- 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"
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- 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"
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- 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"
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- 15 January, 2024 (Mon)
Minoru Kusaba, The Institute of Statistical Mathematics, Tokyo, Japan
"Bayesian kernel regression for functional data"
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- 20 November, 2023 (Mon)
Li Lin, The George Washington University, USA
"From Physics-Informed Plasma Chemistry to Plasma-Based Intelligence"
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- 19 June, 2023 (Mon)
Tobias Gergs, Ruhr University Bochum, Germany
"Machine Learning Surrogate Models for Plasma-Surface Interactions"
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- 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"
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- 5 June, 2023 (Mon)
Aaro Järvinen, VTT Technical Research Centre of Finland
"Application of Bayesian optimization for accelerating model validation"
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- 23 January, 2023 (Mon)
Jeff Schneider, Carnegie Mellon University, Pittsburgh, PA, USA
"Reinforcement Learning for Nuclear Fusion in Tokamaks"
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- 16 January, 2023 (Mon)
Anne Sergent, Sorbonne University, Paris. LISN, Paris-Saclay Université, Orsay, France
"Physics-informed neural networks modeling of turbulent natural convection"
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- 28 November, 2022
Thibault Oujia, Aix-Marseille Université, Marseille, France
"Physics-informed neural networks for synthesizing preferential concentration of particles in isotropic turbulence"
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- 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"
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- 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."
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- 31 October,2022 (Mon)
Jonathan Tennyson, University College London, United Kingdom
"Collisional and radiative molecular data for plasma models"
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- 24 October,2022 (Mon)
Michael Churchill, Princeton Plasma Physics Laboratory, USA
"Normalizing flows for likelihood-free inference with fusion simulations"
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- 17 October,2022 (Mon)
Adam Kit, The University of Helsinki, Finland
"Developing Deep Learning Algorithms for Inferring Upstream Separatrix Density at JET"
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- 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"
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- 11 July, 2022 (Mon)
Jeph Wang, Los Alamos National Laboratory, New Mexico, USA
"“6H” X-ray imaging frontiers and some recent highlights"
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- 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"
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- 13 June, 2022 (Mon)
Stephen Wu, The Institute of Statistical Mathematics, Tokyo, Japan
"Bayesian uncertainty quantification of physical models and its engineering applications"
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- 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"
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- 23 May, 2022 (Mon)
Peter Baddoo, Massachusetts Institute of Technology, Massachusetts, USA
"physics informed dynamic mode decomposition"
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- 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"
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- 21 February, 2022 (Mon)
Satoru Kawaguchi, Seikei University, Tokyo, Japan
"Physics-informed neural network for elucidating electron swarm transport in weakly ionized plasmas"
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- 14 February, 2022 (Mon)
Maria Elena Innocenti, Ruhr-Universität Bochum, Germany
"Unsupervised classification of simulated data"
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- 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"
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- 31 January, 2022 (Mon)
Shinya Maeyama, Nagoya University, Japan
"Mori-Zwanzig projection operator method as a statistical analysis of multivariate time-series data"
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＊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"
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- 17 January, 2022 (Mon)
Ryo Yoshida, The Institute of Statistical Mathematics., Tokyo, Japan
"Scientific Understanding from Machine Learning in Materials Science"
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- 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"
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- 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"
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- No seminar on 29 November, 2021
- 22 November, 2021 (Mon)
Fidel Cacheda, Universidade da Coruña, Spain
"Early Detection of Anomalies: Introducing a new problem"
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- 15 November, 2021 (Mon)
Yuya Morishita, Kyoto University, Japan
"ASTI: Data Assimilation System for Particle and Heat Transport in Toroidal Plasmas"
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- 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"
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＊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"
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- 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"
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- 14 June, 2021 (Mon)
Hideo Nagatomo, Institute of Laser Engineering, Osaka University, Osaka, Japan
"Real-time sensing of laser ablation plasma using machine learning"
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- 07 June, 2021 (Mon)
Kenji Doya, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
"Toward Data-driven Brain Science"
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- 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"
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- 17 May, 2021 (Mon)
Naoki Kenmochi, National Institute for Fusion Science(NIFS), Toki, Gifu, Japan
"Plasma diagnostics and heating control with generative adversarial networks"
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- 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"
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- 22 February, 2021 (Mon)
Linlin Zhong, Southeast University, Nanjing, China
"A Dual Neural Network Framework for Plasma Simulation"
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- 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"
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- 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"
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- 01 February, 2021 (Mon)
Jan Trieschmann, Brandenburg University of Technology, Cottbus, Germany
"Machine learning plasma-surface interface for sputtering simulations"
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- 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"
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- 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"
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- 07 December, 2020 (Mon)
Francesco A. Volpe, Renaissance Fusion, Grenoble, France
"Proposed Stellarator Simplification by ML/AI"
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- 30 November, 2020 (Monday)
Sixin Zhang, CNRS & Université de Toulouse, Toulouse, France
"Statistical maximum-entropy models for turbulence generation"
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- 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"
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- 09 November, 2020 (Monday)
Keisuke Fujii, Kyoto University, Kyoto, Japan
"Statistical properties of electromagnetic emission lines from many-electron atoms and heavy nuclei"
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- 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"
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- 6 July, 2020 (Monday)
Jonathan Citrin, Dutch Institute for Fundamental Energy Research, Eindhoven, The Netherlands
"Neural network surrogate modelling of tokamak turbulence"
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- 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"
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- 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"
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- 15 June, 2020 (Monday)
Kai Schneider, Aix-Marseille University, France
"Particle laden turbulence: Analysis of clustering using multiscale techniques including tools from machine learning"
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- 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."
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- 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"
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- 18 May, 2020 (Monday)
Udo von Toussaint, Max Planck Institute for Plasma Physics, Germany
"A Bayesian Approach to Artificial Neural Networks"
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- 11 May, 2020 (Monday)
Dirk Reiser, Forschungszentrum Jülich, Germany
"Data Driven PDE Model Discovery : Applications to Surface Erosion Dynamics and Catalytic Reaction Kinetics"
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- 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-"
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- 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"
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Kenzo Ibano, Osaka University, Japan
"Machine learning for PWI and helium-induced nanostructures"
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