Project
PaA-6
Selfadapting Surrogate Model for Fluid Dynamic Optimization
Project Heads
Andrea Walther, Martin Weiser
Project Members
Rohit Pochampalli
Project Duration
01.04.2026 − 31.12.2027
Located at
HU Berlin
Description
Derivative-based optimization of fluid flows is a well established field, but often prohibitively expensive for multi-objective optimization tasks. We target adaptive, algorithmic differentiation-based surrogate models enabling multi-objective optimization with error estimation for the maritime industry.
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