29 citations · 80 across the 5 of their papers we have counts for
5 papers
Physics-consistent machine learning: output projection onto physical manifolds
Matilde Valente, Tiago C. Dias, Vasco Guerra +1
Data-driven machine learning models often require extensive datasets, which can be costly or inaccessible, and their predictions may fail to comply with established physical laws.…
A reaction mechanism for oxygen plasmas
Tiago C Dias, Chloé Fromentin, Luís L Alves +3
This work presents a reaction mechanism for oxygen plasmas, i.e. a set of reactions and corresponding rate coefficients that are validated against benchmark experiments. The kineti…
Validation of non-equilibrium kinetics in CO2-N2 plasmas
C. Fromentin, T. Silva, T. C. Dias +3
This work explores the effect of N2 addition on CO2 dissociation and on the vibrational kinetics of CO2 and CO under various non-equilibrium plasma conditions. A self-consistent ki…
Benchmarking between fluid and global models for low-pressure oxygen DC glow discharges
Pedro Viegas, Tiago Cunha Dias, Chloé Fromentin +6
This work focuses on the benchmarking between a zero-dimensional (0D) global model (LoKI) and a one-dimensional (1D) radial fluid model for the positive column of oxygen DC glow di…
Study of vibrational kinetics of CO2 and CO in CO2-O2 plasmas under non-equilibrium conditions
C. Fromentin, T. Silva, T. C. Dias +4
This work explores the effect of O2 addition on CO2 dissociation and on the vibrational kinetics of CO2 and CO under various non-equilibrium plasma conditions. A self-consistent mo…