Pedro Ferro Pereira
David Carvalho
Fábio Cruz
Ivan Pombo
In this third post of the series, we establish graphs as appropriate data structures to handle Smoothed Particle Hydrodynamics (SPH) data. We then construct own graphs with the aim of encoding the input of our Deep Learning model.
Pedro Ferro Pereira
Fábio Cruz
David Carvalho
Ivan Pombo
In this second post of the series, we dive deeper into the theoretical and implementational foundations of Smoothed Particle Hydrodynamics (SPH) as a Computational Fluid Dynamics framework.
Pedro Ferro Pereira
Fábio Cruz
David Carvalho
In the debut of a series on learning Computational Fluid Dynamics (CFD) using Machine Learning, we start off precisely by making sense of what a fluid is, which equations dictate how they evolve physically and how computational methods can help us simulate their solutions.
David Carvalho
Fábio Cruz
With our goal set on understanding how structures can provide coastal protection, we explain how simulators can help estimate which structures are optimal.