Litcius/Paper detail

Physics-Informed Neural Networks for rarefied-gas dynamics: Poiseuille flow in the BGK approximation

Mario De Florio, Enrico Schiassi, B. D. Ganapol, Roberto Furfaro

2022Zeitschrift für angewandte Mathematik und Physik22 citationsDOI

Topics & Concepts

Hagen–Poiseuille equationKnudsen numberArtificial neural networkFlow (mathematics)Applied mathematicsBoundary value problemFunction (biology)PhysicsBoundary (topology)Statistical physicsComputer scienceMathematical optimizationMathematicsMathematical analysisMechanicsArtificial intelligenceQuantum mechanicsEvolutionary biologyBiologyModel Reduction and Neural NetworksLattice Boltzmann Simulation StudiesNuclear reactor physics and engineering