SUPR
Drop AI
Dnr:

NAISS 2025/22-254

Type:

NAISS Small Compute

Principal Investigator:

Thomas Frachon

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2025-02-17

End Date:

2026-03-01

Primary Classification:

10105: Computational Mathematics

Webpage:

Allocation

Abstract

We are working on developing a surrogate model for predicting movement of particles in flows. The work is based using a cut finite element methods that can describe accurately the behavior of drops in a flow.