Unified ELM suppression on KSTAR and DIII-D via adaptive feedback control strategies
Ricardo Shousha, S.K. Kim, Keith Erickson, S.H. Hahn et autres
3 citationsNuclear Fusion
Joseph Abbate
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
37Publications signalées
503Citations signalées
2Affiliations récentes
Institutions déclarées
Domaines associés
Magnetic confinement fusion researchFusion materials and technologiesNuclear reactor physics and engineeringSuperconducting Materials and ApplicationsNeural Networks and Applications
Publications récentes
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
Joseph Abbate, E. Fable, G. Tardini, R. Fischer et autres
3 citationsNuclear Fusion
Combing physics-based and data-driven predictions for quantitatively accurate models that extrapolate well; with application to DIII-D, AUG, and ITER tokamak fusion reactors
Joseph Abbate, E. Fable, G. Tardini, R. Fischer et autres
1 citationarXiv (Cornell University)
DIII-D research to provide solutions for ITER and fusion energy
C. T. Holcomb, Joseph Abbate, Alfredo Abe, A. Abrams et autres
10 citationsNuclear Fusion
Initial testing of Alfvén eigenmode feedback control with machine-learning observers on DIII-D
Andrew Rothstein, Azarakhsh Jalalvand, Joseph Abbate, Keith Erickson et autres
7 citationsNuclear Fusion
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen et autres
2 citationsarXiv (Cornell University)
Large-database cross-verification and validation of tokamak transport models using baselines for comparison
Joseph Abbate, E. Fable, B. A. Grierson, A.Y. Pankin et autres
7 citationsPhysics of Plasmas
Avoiding fusion plasma tearing instability with deep reinforcement learning
Jaemin Seo, S.K. Kim, Azarakhsh Jalalvand, Rory Conlin et autres
147 citationsNature
Automated experimental design of safe rampdowns via probabilistic machine learning
Viraj Mehta, J.L. Barr, Joseph Abbate, Mark D. Boyer et autres
7 citationsNuclear Fusion
Machine learning-based real-time kinetic profile reconstruction in DIII-D
Ricardo Shousha, Jaemin Seo, Keith Erickson, Z. Xing et autres
30 citationsNuclear Fusion
Avoiding tokamak tearing instability with artificial intelligence
Egemen Kolemen, Jaemin Seo, Rory Conlin, Andrew Rothstein et autres
4 citationsResearch Square
Multimodal Prediction of Tearing Instabilities in a Tokamak
Jaemin Seo, Rory Conlin, Andrew Rothstein, S.K. Kim et autres
8 citations
BNTIC News n’est pas le producteur de ces données. Recherche à la demande dans Crossref et Europe PMC, sans clé ; OpenAlex reste optionnel. Aucun service payant requis, aucune réponse conservée. Sources et limites.