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 …

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

Magnetic fusion plasmas, which are complex systems comprising numerous interacting
elements, have large uncertainties. Therefore, future fusion reactors require prediction …

Clarification basins are ubiquitous water treatment units applied across urban water
systems. Diverse applications include stormwater systems, stabilization lagoons …

Industry 4.0 targets the conversion of the traditional industries into intelligent ones through
technological revolution. This revolution is only possible through innovation, optimization …

Verification and linear validation of the internal kink instability in tokamak have been
performed for both gyrokinetic (GTC) and kinetic-MHD codes (GAM-solver, M3D-C1-K …

The motional Stark effect (MSE) diagnostic has been a standard measurement for the
magnetic field line pitch angle in tokamaks that are equipped with neutral beams. However …

In the field of magnetic confinement plasma control, the accurate feedback of plasma
position and shape primarily relies on calculations derived from magnetic measurements …

The advent of machine learning (ML) has revolutionized the research of plasma
confinement, offering new avenues for exploration. It enables the construction of models that …

In recent years, magnetized inductively coupled plasma (MICP) has been proposed as an
improved version of inductively coupled plasma to meet the increasing production process …