Physics-informed neural networks for granular flows modelling

Overview of recent advances in research for next generation in Mechanical Engineering

Open Access

Fig. 5

At t = 4.13, for μ_s = 0.3 and μ₂ = 0.54: a) the pressure field from Basilisk; b) the pressure field predicted by the PINN model; c) comparaison of three pressure profiles along the x-direction, the corresponding y coordinantes for the profiles are indicated in a) and b).

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.