activity
20232026
most citedEvaluating Large Language Models for Real-World Engineering Tasks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs

Lisa Lüddecke, Michael Hohmann, Sebastian Eilermann +4

Reliable prediction of hydraulic performance is challenging for Piano Key Weir (PKW) design because discharge capacity depends on three-dimensional geometry and operating condition…

cs.CV2025

A Continuous-Time Consistency Model for 3D Point Cloud Generation

Sebastian Eilermann, René Heesch, Oliver Niggemann

Fast and accurate 3D shape generation from point clouds is essential for applications in robotics, AR/VR, and digital content creation. We introduce ConTiCoM-3D, a continuous-time…

cs.AI2025★ 1 cited

Evaluating Large Language Models for Real-World Engineering Tasks

Rene Heesch, Sebastian Eilermann, Alexander Windmann +3

Large Language Models (LLMs) are transformative not only for daily activities but also for engineering tasks. However, current evaluations of LLMs in engineering exhibit two critic…

cond-mat.mtrl-sci2023

Position Paper on Materials Design -- A Modern Approach

Willi Grossmann, Sebastian Eilermann, Tim Rensmeyer +4

Traditional design cycles for new materials and assemblies have two fundamental drawbacks. The underlying physical relationships are often too complex to be precisely calculated an…

cs.LG2023

A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle

Christoph Petroll, Sebastian Eilermann, Philipp Hoefer +1

One of the most promising developments in computer vision in recent years is the use of generative neural networks for functionality condition-based 3D design reconstruction and ge…