16 citations · 18 across the 6 of their papers we have counts for
3 papers · 1 filter
Assessment of a non-conservative four-equation multiphase system with phase transition
Paola Bacigaluppi, Julien Carlier, Marica Pelanti +2
This work focuses on the formulation of a four-equation model for simulating unsteady two-phase mixtures with phase transition and strong discontinuities. The main assumption consi…
A Taylor Based Sampling Scheme for Machine Learning in Computational Physics
Paul Novello, Gaël Poëtte, David Lugato +1
Machine Learning (ML) is increasingly used to construct surrogate models for physical simulations. We take advantage of the ability to generate data using numerical simulations pro…
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning
Paul Novello, Gaël Poëtte, David Lugato +1
In the context of supervised learning of a function by a neural network, we claim and empirically verify that the neural network yields better results when the distribution of the…