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Dive into the research topics where Egemen Kolemen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Unleash the Machine Learning control theoretical development on DIII-D
Kolemen, E. (PI)
9/1/23 → 8/31/26
Project: Research project
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Liquid Metal Plasma Facing Component Development Program
Kolemen, E. (PI)
8/1/23 → 7/31/26
Project: Research project
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Flexible Equilibrium and Bifurcation Calculations to Enhance Stellarators Physics Understanding
Kolemen, E. (PI)
8/1/21 → 7/31/24
Project: Research project
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Machine Learning for Real-time Fusion Plasma Behavior Prediction and Manipulation
Kolemen, E. (PI)
9/1/20 → 8/31/23
Project: Research project
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Physics Basis, Optimization, and Control for Integrated 3D Edge Long-pulse Tokamak Scenarios
Kolemen, E. (PI)
9/1/19 → 8/31/25
Project: Research project
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Artificial intelligence-based predictive modeling for imaging neutral particle analyzers on the DIII-D tokamak
Garcia, A., Liu, S., Du, X., Curie, M., Jalalvand, A., Steiner, P. & Kolemen, E., May 1 2025, In: Nuclear Fusion. 65, 5, 056015.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Bridging the gap: Deploying AI-based Models in Real-Time Fusion Plasma Control Systems
Shousha, R., Steiner, P., Seo, J., Conlin, R., Abbate, J., Xing, Z. A., Kim, S. K., Erickson, K. G., Farre-Kaga, H. J., Rothstein, A., Kolemen, E. & Majeski, R., Jul 1 2025, In: IFAC-PapersOnLine. 59, 11, p. 198-203 6 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Combining physics-based and data-driven models for quantitatively accurate plasma profile prediction that extrapolates well; with application to DIII-D, AUG, and ITER tokamaks
Abbate, J., Fable, E., Tardini, G., Fischer, R. & Kolemen, E., May 1 2025, In: Nuclear Fusion. 65, 5, 056014.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Corrigendum: TorbeamNN: machine learning-based steering of ECH mirrors on KSTAR (Plasma Phys. Control. Fusion (2025) 67 (055036) DOI: 10.1088/1361-6587/add08b)
Rothstein, A., Kim, M., Woo, M., Cha, M., Byun, C., Kim, S., Erickson, K., Lee, Y., Josephy-Zack, J., Butt, J., Shousha, R., Joung, M., Juhn, J. W., Lee, K. D. & Kolemen, E., Jul 31 2025, In: Plasma Physics and Controlled Fusion. 67, 7, 079501.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
FreeMHD: Validation and verification of the open-source, multi-domain, multi-phase solver for electrically conductive flows
Wynne, B., Saenz, F., Al-Salami, J., Xu, Y., Sun, Z., Hu, C., Hanada, K. & Kolemen, E., Jan 1 2025, In: Physics of Plasmas. 32, 1, 013907.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations