Workshop I: Artificial Intelligence & Machine Learning in Plasma Science and Beyond
FOCUS · BM3 ·
Presentations
-
Artificial Intelligence {\&} Machine Learning in Plasma Science and Beyond; Introduction
ORAL · Invited
–
Authors
-
Satoshi Hamaguchi
- Osaka University
- Osaka Univ
- Osaka University, Japan
-
-
Optimizing Etching Conditions by Reinforcement Learning and Data Compensation Method
ORAL · Invited
–
Authors
-
Hyakka Nakada
- Hitachi, Ltd. Research & Development Group
-
-
Neural network surrogate modelling of tokamak plasma turbulence
ORAL · Invited
–
Authors
-
Jonathan Citrin
- DIFFER, Eindhoven, The Netherlands
-
Clarisse Bourdelle
- CEA, IRFM, Saint Paul Lez Durance, France
-
Yann Camenen
- CNRS, Aix-Marseille Univ., Marseille, France
-
Federico Felici
- SPC/EPFL, Lausanne, Switzerland
-
Aaron Ho
- DIFFER, Eindhoven, The Netherlands
-
Philipp Horn
- DIFFER, Eindhoven, The Netherlands
-
Bart Kremers
- DIFFER, Eindhoven, The Netherlands
-
Karel van de Plassche
- DIFFER, Eindhoven, The Netherlands
-
-
Pairing plasma diagnostics, theory and simulations with machine learning to overcome the limitations of big data analytics in complex plasma processes
COFFEE_KLATCH · Invited
–
Authors
-
Jun Shinagawa
- Tokyo Electron America, Inc.
-
Peter Ventzek
- Tokyo Electron America
-
Yusuke Tamakawa
- Tokyo Electron Miyagi Ltd.
-
Hiromasa Mochiki
- Tokyo Electron Miyagi Ltd.
-
Noritaka Yokomori
- Tokyo Electron Ltd.
-
-
Break (10:15am - 10:30am)
–
-
Learning-based Control for Non-equilibrium Plasmas
ORAL · Invited
–
Authors
-
Ali Mesbah
- University of California, Berkeley
-
-
Data reprocessing in omics-driven approaches in plasma medicine
ORAL · Invited
–
Authors
-
Kristian Wende
- INP Greifswald/ZIK plasmatis
-
Nick Plathe
- INP Greifswald/ZIK plasmatis
-
Sander Bekeschus
- INP Greifswald/ZIK plasmatis
-
Thomas von Woedtke
- INP Greifswald
-
Klaus-Dieter Weltmann
- INP Greifswald
-