New paper on the Thermal Creep Problem published on the Journal "Physics of Fluids"

Physics-informed neural networks for rarefied-gas dynamics: Thermal creep flow in the Bhatnagar–Gross–Krook approximation

We are glad to share that the last paper on the Journal "Physics of Fluids" is finally out!

In this work, the efficiency of our Physics-Informed Neural Networks method in solving a class of Rarefied-gas Dynamics problems - the Thermal Creep Flow - is demonstrated.
A special thank goes to our SSEL's members, Mario De Florio, Enrico Schiassi, Barry D. Ganapol, and Roberto Furfaro.

You can read it on AIP:
https://doi.org/10.1063/5.0046181

and Researchgate:
https://www.researchgate.net/publication/351037352_Physics-Informed_Neural_Networks_for_Rarefied-Gas_Dynamics_Thermal_Creep_Flow_in_the_Bhatnagar-Gross-Krook_approximation