On the potential of physics-informed neural networks to solve inverse problems in tokamaks
Magnetic confinement nuclear fusion holds great promise as a source of clean and
sustainable energy for the future. However, achieving net energy from fusion reactors …
sustainable energy for the future. However, achieving net energy from fusion reactors …
Current research into applications of tomography for fusion diagnostics
Retrieving spatial distribution of plasma emissivity from line integrated measurements on
tokamaks presents a challenging task due to ill-posedness of the tomography problem and …
tokamaks presents a challenging task due to ill-posedness of the tomography problem and …
Upgrading model selection criteria with goodness of fit tests for practical applications
The Bayesian information criterion (BIC), the Akaike information criterion (AIC), and some
other indicators derived from them are widely used for model selection. In their original form …
other indicators derived from them are widely used for model selection. In their original form …
A systematic investigation of radiation collapse for disruption avoidance and prevention on JET tokamak
To produce fusion reactions efficiently, thermonuclear plasmas have to reach extremely high
temperatures, which is incompatible with their coming into contact with material surfaces …
temperatures, which is incompatible with their coming into contact with material surfaces …
A practical utility-based but objective approach to model selection for regression in scientific applications
In many fields of science, various types of models are available to describe phenomena,
observations and the results of experiments. In the last decades, given the enormous …
observations and the results of experiments. In the last decades, given the enormous …
On the use of entropy to improve model selection criteria
The most widely used forms of model selection criteria, the Bayesian Information Criterion
(BIC) and the Akaike Information Criterion (AIC), are expressed in terms of synthetic …
(BIC) and the Akaike Information Criterion (AIC), are expressed in terms of synthetic …
A hybrid physics/data-driven logic to detect, classify, and predict anomalies and disruptions in tokamak plasmas
Disruptions are abrupt collapses of the configuration that have afflicted all tokamaks ever
operated. Reliable observers are a prerequisite to the definition and the deployment of any …
operated. Reliable observers are a prerequisite to the definition and the deployment of any …
Acceleration of an algorithm based on the maximum likelihood bolometric tomography for the determination of uncertainties in the radiation emission on JET using …
In recent years, a new tomographic inversion method based on the Maximum Likelihood
(ML) approach has been adapted to JET bolometry. Apart from its accuracy and reliability …
(ML) approach has been adapted to JET bolometry. Apart from its accuracy and reliability …
Dealing with artefacts in JET iterative bolometric tomography using masks
Bolometric tomography is a widely applied technique to infer important indirect quantities in
magnetically confined plasmas, such as the total radiated power. However, being an inverse …
magnetically confined plasmas, such as the total radiated power. However, being an inverse …
Investigating the thermal stability of highly radiative discharges on JET with a new tomographic method
The next generation of Tokamak devices is expected to work at very high radiated fractions,
well above 90%, to preserve the integrity of the plasma facing components in general and …
well above 90%, to preserve the integrity of the plasma facing components in general and …