Lukas Morand

According to our database, Lukas Morand authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties.

Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm

J. Intell. Manuf., April, 2024

Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and cooper applications.

Yoav Nahshon, Lukas Morand, Matthias Büschelberger, Dirk Helm, Kiran Kumaraswamy, Paul Zierep, Matthias Weber, Pablo de Andrés

CoRR, 2024

2023

Machine learning for structure-guided materials and process design.

Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm

CoRR, 2023

2022

Deep reinforcement learning methods for structure-guided processing path optimization.

Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm

J. Intell. Manuf., 2022

2021

A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization.

Tarek Iraki, Lukas Morand, Johannes Dornheim, Norbert Link, Dirk Helm

CoRR, 2021

Compensating Data Shortages in Manufacturing with Monotonicity Knowledge.

Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Jan Schwientek, Anke Stoll

Algorithms, 2021

CupNet - Pruning a Network for Geometric Data.

Raoul Heese, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Compensating data shortages in manufacturing with monotonicity knowledge.

Martin von Kurnatowski, Jochen Schmid, Patrick Link, Rebekka Zache, Lukas Morand, Torsten Kraft, Ingo Schmidt, Anke Stoll

CoRR, 2020

Structure-Guided Processing Path Optimization with Deep Reinforcement Learning.

Johannes Dornheim, Lukas Morand, Samuel Zeitvogel, Tarek Iraki, Norbert Link, Dirk Helm

CoRR, 2020

2019

The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge.

Raoul Heese, Michal Walczak, Lukas Morand, Dirk Helm, Michael Bortz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019