Pedro Ferro Pereira

Pedro Ferro Pereira

David Carvalho

David Carvalho

Fábio Cruz

Fábio Cruz

Ivan Pombo

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

Pedro Ferro Pereira

Fábio Cruz

Fábio Cruz

David Carvalho

David Carvalho

Ivan Pombo

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

Pedro Ferro Pereira

Fábio Cruz

Fábio Cruz

David Carvalho

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

David Carvalho

Fábio Cruz

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.

Fan of RSS? Follow our feed.