Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

The Lawson criterion is a key concept in the pursuit of fusion energy, relating the fuel density
n, pulse duration τ or energy confinement time τ E, and fuel temperature T to the energy gain …

The high poloidal-beta (β P) regime was first proposed as a high bootstrap current scenario
for a steady-state fusion pilot plant (FPP) in the 1990s (Kikuchi in Nucl Fusion 30: 265 …

Instability to high toroidal mode number (n) ballooning modes has been proposed as the
primary gradient-limiting mechanism for tokamak equilibria with negative triangularity …

Recent progress in the application of machine learning (ML)/artificial intelligence (AI)
algorithms to improve the Equilibrium Fitting (EFIT) code equilibrium reconstruction for …

A new, fully data-driven algorithm has been developed that uses a neural network to predict
plasma profiles on a scale of τ E into the future given an actuator trajectory and the plasma …

Managing divertor plasmas is crucial for operating reactor scale tokamak devices due to
heat and particle flux constraints on the divertor target. Simulation is an important tool to …

In this work we present the extensive validation of a refined version of the integrated model
based on engineering parameters (IMEP) introduced in reference (Luda et al 2020 Nucl …

This paper reports on the development of reduced models for electron temperature gradient
(ETG) driven transport in the pedestal. Model development is enabled by a set of 61 …

The OMFIT STEP (Meneghini et al., Nucl. Fusion, vol. 10, 2020, p. 1088) workflow has been
used to develop inductive and steady-state H-mode core plasma scenario use cases for a …