Workshop: Combining Plasma Modeling and Artificial Intelligence
INVITED · IM2 · ID: 3430324
Presentations
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Integrated modeling and simulation incorporating machine learning methods: case studies and perspectives on usefulness
ORAL · Invited
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Presenters
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Peter L Ventzek
Tokyo Electron America, Inc.
Authors
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Peter L Ventzek
Tokyo Electron America, Inc.
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Atomistic Simulation of Reactive Ion Etching using Machine Learning Interatomic Potentials
ORAL · Invited
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Publication: ACS Applied Materials & Interfaces, 16, 48457, 2024 and an additional paper currently in preparation.
Presenters
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Changho Hong
Seoul National University
Authors
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Changho Hong
Seoul National University
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Hyungmin An
Seoul National University
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Sangmin Oh
Seoul National University
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Seungwu Han
Seoul National University
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Quantitative Analysis of Mono-Energetic Ion Flux Control in Atomic Layer Etching via Tailored Waveform Profiles
ORAL · Invited
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Presenters
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Hyungseon Song
Quantemol Ltd
Authors
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Hyungseon Song
Quantemol Ltd
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Sebastian Mohr
Quantemol Ltd
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Bridging Plasma Equipment and Surface Processes: Insights from Simulation and AI
ORAL · Invited
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Publication: In-Situ Post-Doping Plasma Process during Atomic Layer Deposition of Al-Doped TiO2 for Sub-Nanometer Lattice Ordering and Defect Annihilation<br>Deep neural network-based reduced-order modeling of ion–surface interactions combined with molecular dynamics simulation<br>Computational approach for plasma process optimization combined with deep learning model<br>Atomistic insights on hydrogen plasma treatment for stabilizing High-k/Si interface
Presenters
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Byungjo Kim
Ulsan National Institute of Science and Technology (UNIST), Ulsan National Institute of Science and Technology
Authors
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Byungjo Kim
Ulsan National Institute of Science and Technology (UNIST), Ulsan National Institute of Science and Technology
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Lunch
COFFEE_KLATCH
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Enhancement of the simulation speed of a particle-in-cell method combined with machine learning technology
ORAL · Invited
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Presenters
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HaeJune Lee
Pusan National University
Authors
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HaeJune Lee
Pusan National University
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Data-driven state and parameter estimation for low temperature plasmas
ORAL · Invited
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Presenters
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Kentaro Hara
Department of Aeronautics and Astronautics, Stanford University, Stanford University
Authors
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Kentaro Hara
Department of Aeronautics and Astronautics, Stanford University, Stanford University
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Anubhav Dwivedi
University of Minnesota Twin Cities, Department of Aerospace Engineering and Mechanics, University of Minnesota Twin Cities
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AI/ML in Fusion research
ORAL · Invited
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Presenters
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Andrew Christlieb
Michigan State University
Authors
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Andrew Christlieb
Michigan State University
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Coffee
COFFEE_KLATCH
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