S. Pamela
- Role of the separatrix density in the pedestal performance in deuterium low triangularity JET-ILW plasmas and comparison with JET-C
2021/10/26 by L. Frassinetti, C. Pérez von Thun, C. Perez von Thun +31 · 6 citations
Physics and Astronomy · Materials Science · #Magnetic confinement fusion research #Ionosphere and magnetosphere dynamics #Fusion materials and technologies
- Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles
2023/10/13 by Lorenzo Zanisi, A. Ho, Zanisi, L. +17 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #FOS: Physical sciences #Magnetic confinement fusion research #Nuclear reactor physics and engineering #Plasma Physics (physics.plasm-ph) #Speech Recognition and Synthesis
- Fourier Neural Operator for Plasma Modelling
2023/02/13 by Vignesh Gopakumar, S. Pamela, Gopakumar, Vignesh +9 · 3 citations
Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Magnetic confinement fusion research #Plasma Physics (physics.plasm-ph) #Target Tracking and Data Fusion in Sensor Networks
- Uncertainty Quantification of Surrogate Models using Conformal Prediction
2024/08/19 by Vignesh Gopakumar, Gopakumar, Vignesh, Ander Gray +13 · 4 citations
Decision Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Plasma Physics (physics.plasm-ph) #Probabilistic and Robust Engineering Design
- 5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence
2025/02/11 by Gianluca Galletti, Fabian Paischer, Galletti, Gianluca +12 · 4 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Plasma Physics (physics.plasm-ph) #Target Tracking and Data Fusion in Sensor Networks