Optimization tasks are essential in modern engineering fields such as chip design,
spacecraft trajectory determination, and reactor scenario development. Recently, machine …

Reconstructing the past of observed fluids has been known as an ill-posed problem due to
both numerical and physical challenges, especially when observations are distorted by …

The path of tokamak fusion and International thermonuclear experimental reactor (ITER) is
maintaining high-performance plasma to produce sufficient fusion power. This effort is …

Real-time control systems (RTCS) have become an indispensable part of modern industry,
finding widespread applications in fields such as robotics, intelligent manufacturing and …

The transition to sustainable energy is a key challenge of our time, requiring modifications in
the entire pipeline of energy production, storage, transmission, and consumption. At every …

To achieve carbon neutrality, hydrogen and ammonia are considered promising energy
carriers for renewable energy. Efficient use of these resources has become a critical …

The internal kink mode is one of the crucial factors affecting the stability of magnetically
confined fusion devices. This paper explores the key features influencing the growth rate of …

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

A neural network, BES-ELMnet, predicting a quasi-periodic disruptive eruption of the plasma
energy and particles known as edge localized mode (ELM) onset is developed with …

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 …