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Shira Morosohk
Shira Morosohk
Post-Doctoral Researcher, Oak Ridge Associated Universities
Geverifieerd e-mailadres voor fusion.gat.com
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DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
ME Fenstermacher, J Abbate, S Abe, T Abrams, M Adams, B Adamson, ...
Nuclear Fusion 62 (4), 042024, 2022
192022
Accelerated version of NUBEAM capabilities in DIII-D using neural networks
SM Morosohk, MD Boyer, E Schuster
Fusion Engineering and Design 163, 112125, 2021
152021
Neural network model of the multi-mode anomalous transport module for accelerated transport simulations
SM Morosohk, A Pajares, T Rafiq, E Schuster
Nuclear Fusion 61 (10), 106040, 2021
102021
Neural network model of neutral beam injection in the EAST tokamak to enable fast transport simulations
Z Wang, S Morosohk, T Rafiq, E Schuster, MD Boyer, W Choi
Fusion Engineering and Design 191, 113514, 2023
32023
Validating the Multi-Mode Model’s Ability to Reproduce Diverse Tokamak Scenarios
T Rafiq, Z Wang, S Morosohk, E Schuster, J Weiland, W Choi, HT Kim
Plasma 6 (3), 435-458, 2023
22023
Real‐time estimation of the electron temperature profile in DIII‐D by leveraging neural‐network surrogate models
S Morosohk, E Schuster
Contributions to Plasma Physics 63 (5-6), e202200153, 2023
22023
Control-oriented current-profile response modeling using neural network accelerated versions of TGLF and NUBEAM for DIII-D
S Morosohk, T Rafiq, E Schuster, O Meneghini, MD Boyer
APS Division of Plasma Physics Meeting Abstracts 2020, GP19. 029, 2020
22020
Enhanced Plasma Profile Estimation and Control in Tokamaks via Machine Learning
S Morosohk
Lehigh University, 2024
12024
Estimation of the electron temperature profile in tokamaks using analytical and neural network models
S Morosohk, A Pajares, E Schuster
2022 American Control Conference (ACC), 278-283, 2022
12022
Neural-network version of nubeam for real-time control and scenario optimization in DIII-D
S Morosohk, D Boyer, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2018, BP11. 101, 2018
12018
Fast Neural-Network Surrogate Model of the Updated Multi-Mode Anomalous Transport Module for NSTX-U
B Leard, Z Wang, S Morosohk, T Rafiq, E Schuster
IEEE Transactions on Plasma Science, 2024
2024
Machine learning-enhanced model-based scenario optimization for DIII-D
S Morosohk, B Leard, T Rafiq, E Schuster
Nuclear Fusion 64 (5), 056018, 2024
2024
Current Profile Control in EAST via Reinforcement-Learning-based Model Predictive Control
Z Wang, ST Paruchuri, S Morosohk, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2023, UP11. 054, 2023
2023
Integration of MMMNet for NSTX-U into COTSIM to Enable Fast and Accurate Predictions for Scenario Planning and Control Applications
B Leard, T Rafiq, S Morosohk, Z Wang, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2023, YP11. 064, 2023
2023
Simultaneous Regulation of the Electron Temperature and Safety Factor Profiles for DIII-D using Optimal Control Methods
S Morosohk, Z Wang, ST Paruchuri, T Rafiq, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2023, PP11. 011, 2023
2023
Fusion-Plasma Response Modeling Through Neural Network Machine Learning
S Kothari, S Morosohk, E Schuster
Journal of Computing Sciences in Colleges 38 (3), 200-200, 2022
2022
Robust Control of the Electron Temperature Profile in DIII-D
S Morosohk, ST Paruchuri, Z Wang, T Rafiq, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2022, UP11. 061, 2022
2022
Simultaneous Electron Temperature and Safety Factor Profile Control for DIII-D
S Morosohk, Z Wang, A Pajares, ST Paruchuri, T Rafiq, E Schuster
APS Division of Plasma Physics Meeting Abstracts 2021, CP11. 102, 2021
2021
Model-based control development for KSTAR enabled by TRANSP
M Boyer, X Yuan, F Poli, HS Kim, SH Hahn, E Schuster, S Morosohk, ...
APS Division of Plasma Physics Meeting Abstracts 2019, CO6. 006, 2019
2019
A Neural Network Version of Multi-Mode Model for Control-oriented Fast Simulations in DIII-D
S Morosohk, E Schuster, T Rafiq
APS Division of Plasma Physics Meeting Abstracts 2019, TP10. 137, 2019
2019
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