4 citations · 4 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2021
Inferring incompressible two-phase flow fields from the interface motion using physics-informed neural networks
Aaron B. Buhendwa, Stefan Adami, Nikolaus A. Adams
In this work, physics-informed neural networks are applied to incompressible two-phase flow problems. We investigate the forward problem, where the governing equations are solved f…
physics.comp-ph2020★ 4 cited
A modular massively parallel computing environment for three-dimensional multiresolution simulations of compressible flows
Nils Hoppe, Stefan Adami, Nikolaus A. Adams
Numerical investigation of compressible flows faces two main challenges. In order to accurately describe the flow characteristics, high-resolution nonlinear numerical schemes are n…
physics.flu-dyn2010
Tipstreaming of a drop in simple shear flow in the presence of surfactant
S. Adami, X. Y. Hu, N. A. Adams
We have developed a multi-phase SPH method to simulate arbitrary interfaces containing surface active agents (surfactants) that locally change the properties of the interface, such…