Workshop on AI for Accelerating Fusion and Plasma Science

Name: Workshop on AI for Accelerating Fusion and Plasma Science
Start: 2023-11-28T09:00:00+01:00
End: 2023-12-01T18:20:00+01:00
Location: IAEA Headquarters

28 November 2023 to 1 December 2023

IAEA Headquarters

Europe/Vienna timezone

Workshop programme now available

Contact

M.Barbarino@iaea.org

Author List

Joseph Abbate (Princeton University)
- Author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Luigi Acerbi (University of Helsinki)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Adriano Agnello (STFC Hartree Centre)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Xinkun Ai (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Cihan Akcay (General Atomics)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Javier Alguacil (UNED)
- Co-author in A new Neural Network Assisted CAD-based Analytical Real-Time Estimator (NACARTE) for photon dose assessment
James Allison (First Light Fusion Ltd.)
- Co-author in Hybrid Bayesian Optimisation / Evolution Strategy applied to the design of uni-axially driven ICF targets
feda almuhisen (cea cadarache)
- Author in Machine Learning Approaches in Plasma State Recognition: An Overview of the STARE
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
Emil Amnell (University of Helsinki)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Nicola Amorisco (STFC Hartree Centre)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Anima Anandkumar (Caltech)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Rick Archibald
- Author in Improving Predictions Under Uncertainty of Material Plasma Device Operations
Marie-Helene Aumeunier (CEA/IRFM)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Enrico Aymerich
- Co-author in Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
hojat babaee (Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran)
- Co-author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Torrin Bechtel (General Atomics)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Mario Belotti (UNED)
- Author in A new Neural Network Assisted CAD-based Analytical Real-Time Estimator (NACARTE) for photon dose assessment
fahimeh Beroghani (Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran)
- Co-author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Ayush Bharti (Aalto University)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Harsh Bhatia (LLNL)
- Co-author in Data-driven model for divertor plasma
Matteo Bonotto
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Rafel Bordas (First Light Fusion Ltd.)
- Co-author in Hybrid Bayesian Optimisation / Evolution Strategy applied to the design of uni-axially driven ICF targets
clarisse bourdelle (CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France.)
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
Daniel Brennand (UKAEA)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Martin Brenzke (Forschungszentrum Jülich GmbH)
- Co-author in Fast surrogate models for power and particle exhaust in fusion
James Buchanan (United Kingdom Atomic Energy Authority)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Yann Camenen (CNRS)
- Author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
Francesco Cannarile (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
BARBARA Cannas (ENEA-University of Cagliari)
- Author in Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
Alessandro Castelli (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Ian Char (Carnegie Mellon University)
- Author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
zhongyong chen (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, Huazhong University of Science and Technology)
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Dalong Chen (Institute of Plasma Physics, HFIPS, Chinese Academy of Sciences, Hefei, China)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Yihang Chen (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
zhong Chen (HUST)
- Co-author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
Zhengwei Chen (SouthWestern Institute of Physics)
- Author in AI-driven tokamak control in HL-2A/2M
Veronika Cheplygina (IT University of Copenhagen)
- Author in Cats, crowds and other considerations for learning with limited labelled data
Randy Churchill (Princeton Plasma Physics Laboratory)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Jonathan Citrin (FOM DIFFER - Dutch Institute for Fundamental Energy Research)
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
Gregoire Clarte (University of Helsinki)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Benoît Clavier (Aix-Marseille Université, CNRS, Centrale Marseille, M2P2 UMR 7340, Marseille, France)
- Author in Turbulent electric potential generation for particle trajectories integration
Stefan Dasbach (Forschungszentrum Jülich GmbH, Institut für Energie-und Klimaforschung – Plasmaphysik, 52425 Jülich, Germany)
- Co-author in Fast surrogate models for power and particle exhaust in fusion
Andrés DE BUSTOS (CIEMAT)
- Co-author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Marc Deisenroth (University College London)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Eliana De Marchi (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Yonghua Ding (Huazhong University of Science and Technology, Wuhan, China)
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Jonathan DuBois (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Thomas Edwards (First Light Fusion Ltd.)
- Author in Hybrid Bayesian Optimisation / Evolution Strategy applied to the design of uni-axially driven ICF targets
Alessandra Fanni (ENEA-Univ. of Cagliari)
- Co-author in Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
Blaise Faugeras (UCA - CNRS - LJAD)
- Co-author in Deep reinforcement learning for magnetic control on WEST
Nicolas Fedorczak (IRFM/CEA)
- Co-author in Machine Learning Approaches in Plasma State Recognition: An Overview of the STARE
Alessandra Fidanzi (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Yan-lin Fu (Dalian Institute of Chemical Physics)
- Co-author in A deep learning-based model for the cross-scale instability in fusion plasma
Guillaume Fuhr (Aix-Marseille University)
- Author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
TÃ¼nde Fülöp (Chalmers University of Technology)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Chirag Furia (Brown University)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Jim A. Gaffney (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Zhe Gao (Tsinghua University)
- Author in AI-driven tokamak control in HL-2A/2M
Zhe Gao (Tsinghua University)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Darren Garnier (MIT Plasma Science and Fusion Center)
- Co-author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
- Co-author in Reinforcement Learning for Rampdown Scenario Design and Active Disruption Avoidance
Linda GESENHUES (European High-Performance Computing Joint Undertaking)
- Author in The European High Performance Computing Joint Undertaking - Leading the way in European supercomputing
Vasily Geyko (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Vignesh Gopakumar (UK Atomic Energy Authority)
- Author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Valentin Gorse (CEA)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Ander Gray
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Frank Graziani (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Erwan Grelier (CEA, IRFM)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
bihao guo
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Meihuizi He (Nankai University)
- Author in AI-driven tokamak control in HL-2A/2M
Aaron Ho (DIFFER)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
George Holt (STFC Hartree Centre)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Eberhard Holzhauer (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Mathias Hoppe (KTH)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Michael HOURY (CEA)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Kelli D. Humbird (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
davod iraji (Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran)
- Co-author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Bartłomiej Jabłonski (Lodz University of Technology, Department of Microelectronics and Computer Science, Łódź, Poland.)
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
- Co-author in Scalable and Reliable Platform for AI-based Image Acquisition and Processing
Marcin Jakubowski (Max-Planck-Institut für Plasmaphysik)
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
Aaro Järvinen (VTT)
- Author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Frank Jenko (Max Planck Institute for Plasma Physics)
- Author in Physics-Preserving AI-Accelerated Simulations of Turbulent Transport
Sangmin Ji (Chungnam National University)
- Co-author in Probabilistic modeling of signal intensity on the spectrograms of microwave reflectometry for the plasma diagnostics of electron density profile
Ilon Joseph (Lawrence Livermore National Laboratory)
- Author in Exploration of Quantum Computing for Fusion Energy Science Applications
Rafael Juarez (UNED)
- Co-author in A new Neural Network Assisted CAD-based Analytical Real-Time Estimator (NACARTE) for photon dose assessment
Alexis Juven (CEA)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Walter Kasparek (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Abbie Keats (Science and Technology Facilities Council)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Samy Kerboua-Benlarbi (CEA- IRFM)
- Author in Deep reinforcement learning for magnetic control on WEST
Boseong Kim (Korea Institute of Fusion Energy)
- Author in Self-consistent time series tracking for phase difference and improved density profile reconstruction scheme on the KSTAR reflectometer
- Co-author in Probabilistic modeling of signal intensity on the spectrograms of microwave reflectometry for the plasma diagnostics of electron density profile
Adam Kit (University of Helsinki, Helsinki, Finland)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Alf Köhn-Seemann (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Egemen Kolemen (Princeton University)
- Author in Avoiding plasma instabilities with artificial intelligence
Egemen Kolemen (PPPL)
- Co-author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Scott Kruger (Tech-X Corporation)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Michael K. G. Kruse (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Eugene Kur (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Matt Kusner (University College London)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Bogdan Kustowski (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Matisse Lanzarone (Aix-Marseille Universite)
- Author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
Lang Lao (General Atomics)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Alexander Lazukin (JSC "SRC RF TRINITI")
- Co-author in Plasma density raw signal prediction to duplicate feedback in tokamak control system to enhance reliability
Chanyoung Lee (Korea Institute of Fusion Energy)
- Author in Virtual KSTAR and potential AI/ML applications in the digital twin platform
Nikolai Leshov (Troitsk Institute for Innovation and Fusion Research)
- Author in Plasma density raw signal prediction to duplicate feedback in tokamak control system to enhance reliability
Jiyuan Li (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Zongyi Li (Caltech)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Ze Li
- Author in Optimization of local volume ignition targets
Bo Li (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Hui Li (Dalian University of Technology)
- Author in A deep learning-based model for the cross-scale instability in fusion plasma
Ze Li (National University of Defense Technology)
- Co-author in Machine learning optimization for laser driven implosions towards high gain fusion
Lingrui Li
- Author in Optimization of local volume ignition targets
Ji-quan Li (Southwestern Institute of Physics)
- Co-author in A deep learning-based model for the cross-scale instability in fusion plasma
Dong Li
- Author in Fast Plasma Tomography using De-convolutional and DNN methods
Steve Libby (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Yuhang Liu (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Yuhang Liu (Southwestern Institute of Physics)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Yueqiang Liu (General Atomics, PO Box 85608, San Diego, CA 92186-5608, USA)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Yanyun Ma (National University of Defense Technology)
- Author in Optimization of local volume ignition targets
- Co-author in Machine learning optimization for laser driven implosions towards high gain fusion
Sandeep Madireddy (Argonne National Laboratory)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Darius Makowski (Lodz University of Technology, Department of Microelectronics and Computer Science, Łódź, Poland.)
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
Dariusz Makowski (Lodz University of Technology, Department of Microelectronics and Computer Science)
- Author in Scalable and Reliable Platform for AI-based Image Acquisition and Processing
Lee Margetts (UKAEA)
- Author in Symbiotic Design of Fusion Power Plants
Abhilash Mathews
- Author in Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experiment
Joseph McClenaghan (General Atomics)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Viraj Mehta (Carnegie Mellon University)
- Author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Stefan Merli (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Dorian MIDOU (CEA, IRFM, F-13108 Saint-Paul-lez-Durance, France)
- Author in Machine Learning Approaches in Plasma State Recognition: An Overview of the STARE
Aleksander Mielczarek (Lodz University of Technology, Department of Microelectronics and Computer Science)
- Co-author in Scalable and Reliable Platform for AI-based Image Acquisition and Processing
Raphael MITTEAU (CEA/IRFM)
- Author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
Victor Moncada (CEA)
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
- Co-author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
Philippe Moreau (CEA - IRFM)
- Co-author in Deep reinforcement learning for magnetic control on WEST
Yong-Su Na (Seoul National University)
- Co-author in Self-consistent time series tracking for phase difference and improved density profile reconstruction scheme on the KSTAR reflectometer
Anass ahmad NAJLAOUI (Aix-Marseille Universite)
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
Eric Nardon (CEA)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Vadim Nemytov (Tokamak Energy Ltd.)
- Author in Recurrent neural network-based digital twin of ST40 tokamak dynamics: building system insight into model architecture
Ryan C. Nora (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Rémy Nouailletas (CEA - IRFM)
- Co-author in Deep reinforcement learning for magnetic control on WEST
Dong Keun Oh (KFE (Korea Institute of Fusion Energy))
- Author in Probabilistic modeling of signal intensity on the spectrograms of microwave reflectometry for the plasma diagnostics of electron density profile
- Co-author in Self-consistent time series tracking for phase difference and improved density profile reconstruction scheme on the KSTAR reflectometer
Daniel Opalka (European High Performance Computing Joint Undertaking)
- Author in The European High Performance Computing Joint Undertaking - Leading the way in European supercomputing
Maria Ortiz de Zuniga (Fusion for Energy)
- Author in Development and analysis of Al tools for welding success rate prediction and the posterior output processing of PAUT applied to welding defects detection in the ITER VV manufacturing
Stanislas Pamela (CCFE - UKAEA)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
- Author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Aimin Pan (Zhejiang Lab)
- Co-author in Data reactor meets fusion reactor: a computational infrastructure for fusion study
Miriam Parisi (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Joseph Parker (Irish Centre for High-End Computing)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Piotr Perek (Lodz University of Technology, Department of Microelectronics and Computer Science)
- Co-author in Scalable and Reliable Platform for AI-based Image Acquisition and Processing
J. Luc Peterson (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Simon Pinches (ITER Organization)
- Co-author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Roberto Simone Pinna (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Fabio Pisano (ENEA-University of Cagliari)
- Co-author in Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
Pedro PONS-VILLALONGA (CIEMAT)
- Co-author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Max Porter (Sandia National Laboratories)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Aleix Puig Sitjes (Max-Planck-Institut für Plasmaphysik)
- Author in Multi-device dataset of infrared images for the control of thermal loads with machine learning
Mirko Ramisch (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
chapar rasouli (Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran)
- Co-author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Hossein rasouli
- Author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Cristina Rea (Massachusetts Institute of Technology)
- Co-author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Cristina Rea (Massachusetts Institute of Technology, Plasma Science and Fusion Center)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Dominic Richards (STFC Hartree Centre)
- Author in Efficient generation of synthetic datasets for magnetic confinement fusion
Dariush rostamifard (Plasma Physics and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, Tehran, Iran)
- Co-author in Modeling, design and implementation of plasma vertical position controller using neural network in Damavand tokamak
Andy Rothstein (Princeton University)
- Author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Anirban Samaddar (Argonne National Laboratory)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Javier Sanz (UNED)
- Co-author in A new Neural Network Assisted CAD-based Analytical Real-Time Estimator (NACARTE) for photon dose assessment
Jeff Schneider (Carnegie Mellon University)
- Co-author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
Andreas Schulz (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Jaemin Seo (Chung-Ang University)
- Author in Avoiding plasma instabilities with artificial intelligence
- Author in Leveraging physics-informed AI computing for simulating the transport of fusion plasmas
Seong-Heon Seo (Korea Institute of Fusion Energy)
- Author in Probabilistic modeling of signal intensity on the spectrograms of microwave reflectometry for the plasma diagnostics of electron density profile
- Co-author in Self-consistent time series tracking for phase difference and improved density profile reconstruction scheme on the KSTAR reflectometer
Sergei Sharapov (UKAEA)
- Co-author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Anastasiia Shcherbak (SRC RF TRINITI)
- Co-author in Plasma density raw signal prediction to duplicate feedback in tokamak control system to enhance reliability
Chengshuo Shen (Huazhong University of Science and Technology)
- Author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Chengshuo Shen (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
biao shen (Institute of Plasma Physics, HFIPS, Chinese Academy of Sciences, Hefei, China)
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Yuan Shi (Lawrence Livermore National Laboratory)
- Co-author in Exploration of Quantum Computing for Fusion Energy Science Applications
Giuliana Sias (ENEA -University of Cagliari)
- Co-author in Deep Learning and Machine Learning algorithms for disruption prediction and heat-load monitoring in fusion devices
Scott Silburn (UKAEA)
- Co-author in Bayesian optimization for efficient parameter space coverage with computationally demanding simulations in fusion energy applications
Xianming Song (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Lucas Spangher (Massachusetts Institute of Technology, Plasma Science and Fusion Center)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Brian Spears (Lawrence Livermore National Laboratory)
- Author in Machine Learning Enabled Quantitative Prediction of the First-Ever Igniting Inertial Confinement Fusion Experiment
Christian Staron
- Co-author in Artificial intelligence for infrared image processing and comprehensive untangling of internal thermal scene at WEST
Xuan Sun (Oakridge and Associates Unversity)
- Author in EFIT-AI neural network surrogates for magnetic, MSE, and kinetic equilibrium reconstruction
Günter Tovar (University of Stuttgart, IGVP)
- Co-author in A machine learning approach to the inverse scattering problem
Brendan Tracey (Google DeepMind)
- Author in Magnetic Control of Tokamak Plasmas through Deep Reinforcement Learning
Christos Vagkidis (Institute of Interfacial Process Engineering and Plasma Technology, IGVP)
- Author in A machine learning approach to the inverse scattering problem
Karel van de Plassche (DIFFER)
- Co-author in FASTER : IA methods for fast and accurate turbulent transport prediction in tokamaks
- Co-author in Neural Network Surrogate for Acceleration of Gyrokinetic Codes
V-KSTAR development team
- Author in Virtual KSTAR and potential AI/ML applications in the digital twin platform
Zheng-xiong Wang (Dalian University of Technology)
- Co-author in A deep learning-based model for the cross-scale instability in fusion plasma
Nengchao Wang (Huazhong University of Science and Technology, Wuhan, China)
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Allen Wang (MIT)
- Author in Large Language Models as Tools for Searching and Explaining Tokamak Shot Logs
- Author in Reinforcement Learning for Rampdown Scenario Design and Active Disruption Avoidance
Shuo Wang (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Yixiong Wei (Zhejiang Lab)
- Co-author in Data reactor meets fusion reactor: a computational infrastructure for fusion study
Sven Wiesen (Forschungszentrum Jülich)
- Author in Fast surrogate models for power and particle exhaust in fusion
Fuyuan Wu (Shanghai Jiao Tong University)
- Co-author in Machine learning optimization for laser driven implosions towards high gain fusion
Fan Xia (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Fan Xia (Southwestern Institute of Physics)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Bingjia Xiao (Institute of Plasma Physics, Chinese Academy of Sciences)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Yutong Xu (Nankai University)
- Author in AI-driven tokamak control in HL-2A/2M
xueqiao Xu (Lawrence Livermore National Laboratory)
- Co-author in Data-driven model for divertor plasma
Fengming Xue (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Zongyu Yang
- Author in AI-driven tokamak control in HL-2A/2M
- Author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Xiaohu Yang (National University of Defense Technology)
- Author in Machine learning optimization for laser driven implosions towards high gain fusion
- Author in Optimization of local volume ignition targets
Fei Yang (Zhejiang Lab)
- Author in Data reactor meets fusion reactor: a computational infrastructure for fusion study
Lorenzo Zanisi (CCFE)
- Co-author in Fourier Neural Operator for Plasma Emulation in Simulation and Experiment
Fabio Zanon (Eni S.p.A.)
- Author in A device-independent pipeline for benchmarking AI-driven disruption prediction models
Enrique Zapata Cornejo (ITER-Aix Marseille University)
- Author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
David Zarzoso (CNRS)
- Co-author in Turbulent electric potential generation for particle trajectories integration
- Co-author in Unsupervised learning and feature extraction of Alfvén activity in fusion plasmas
Guobo Zhang (National University of Defense Technology)
- Author in Optimization of local volume ignition targets
- Co-author in Machine learning optimization for laser driven implosions towards high gain fusion
Yipo Zhang (Southwestern Institute of Physics)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Ming Zhang (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China)
- Co-author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
Jie Zhang (Shanghai Jiao Tong University)
- Co-author in Machine learning optimization for laser driven implosions towards high gain fusion
Zhifeng Zhao (Zhejiang Lab)
- Co-author in Data reactor meets fusion reactor: a computational infrastructure for fusion study
Yifei Zhao (Dalian University of Technology)
- Author in AI-driven tokamak control in HL-2A/2M
Menglong Zhao (LLNL)
- Co-author in Data-driven model for divertor plasma
Wei Zheng (International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics, Huazhong University of Science and Technology)
- Author in Cross Tokamak Disruption Prediction with Different Methods and from Different Perspectives
- Author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Wulyu Zhong (CnSWIP)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning
Yu Zhong (Huazhong University of Science and Technology)
- Co-author in Predicting disruption in future tokamaks with fewer data by more physics-guided
Wulyu Zhong (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Xiaobo Zhu (Southwestern Institute of Physcis)
- Author in AI-driven tokamak control in HL-2A/2M
Ben Zhu (Lawrence Livermore National Laboratory)
- Author in Data-driven model for divertor plasma
Xiaobo Zhu (Southwestern Institute of Physics)
- Co-author in PFNN：Less data and better performance on disruption prediction via physics-informed deep learning

Choose timezone

Workshop on AI for Accelerating Fusion and Plasma Science

Contact