Showing physics.plasm-phShow all
3 papers · 1 filter
physics.plasm-ph2024
Machine Learning for Chemistry Reduction in N-H Low-Temperature Plasmas
Diogo R. Ferreira, Alexandre Lança, Luís Lemos Alves
Low-temperature plasmas are partially ionized gases, where ions and neutrals coexist in a highly reactive environment. This creates a rich chemistry, which is often difficult to un…
physics.plasm-ph2024
Using Deep Learning to Design High Aspect Ratio Fusion Devices
P. Curvo, D. R. Ferreira, R. Jorge
The design of fusion devices is typically based on computationally expensive simulations. This can be alleviated using high aspect ratio models that employ a reduced number of free…
physics.plasm-ph2023
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression
Diogo R. Ferreira
This document describes an approach used in the Multi-Machine Disruption Prediction Challenge for Fusion Energy by ITU, a data science competition which ran from September to Novem…