Barbara Baldoni

most citedMachine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts

16 citations · 16 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.dis-nn2025

Rheological Parameter Identification in Granular Materials Using Physics-Informed Neural Networks

Barbara Baldoni, Mickaël Delcey, Yoann Cheny +3

Physics-Informed Neural Networks (PINNs) have recently emerged as a promising tool for fluid dynamics, particularly for flow reconstruction and parameter identification. In the con…

cond-mat.mtrl-sci2023★ 16 cited

Machine learning modeling of the atomic structure and physical properties of alkali and alkaline-earth aluminosilicate glasses and melts

Charles Le Losq, Barbara Baldoni

The first version of the machine learning greybox model i-Melt was trained to predict latent and observed properties of K $_{2}$ O-Na $_{2}$ O-Al $_{2}$ O $_{3}$ -SiO $_{2}$ melts and glasses. Here,…