2nd International Conference on Data Driven Plasma Science

Plenary 4 : R. Yoshida, Machine learning for materials design and discovery: how do we learn from little?

auditorium

R. Yoshida

A. Mesbah, Machine Learning for Process Monitoring and Control of Low-temperature Plasmas

auditorium

A. Mesbah

Coffee break

Salle des Voûtes

J. Kates-Harbeck, Disruption Prediction in Tokamak Fusion Reactors via Deep Learning at Scale

auditorium

J. Kates-Harbeck

M. Blatzheim, Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X

auditorium

M. Blatzheim

A. Ho, Application of Gaussian process regression techniques to experimental plasma profile fitting and model validation

auditorium

A. Ho

Lunch

Salle des Voûtes

B. Spears, Learning-based predictive models: a new approach to integrating large-scale simulations and experiments

auditorium

B. Spears

O. Agullo, Prediction of magnetic island dynamics with neural networks

auditorium

O. Agullo

P. Rodriguez-Fernandez, Surrogate-Based Optimization Techniques for the Validation of Plasma Transport Models

auditorium

P. Rodriguez-Fernandez

Coffee break

Salle des Voûtes

Round Table