Lukas Morand

Fraunhofer-Institut für Werkstoffmechanik

Germany

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Articles (10)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

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2024

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Collaborators (3)

Matthias Büschelberger

Fraunhofer-Institut für Werkstoffmechanik

GERMANY

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Patrick Link

Fraunhofer Institute for Machine Tools and Forming Technology IWU

GERMANY

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Alexander Hartmaier

Ruhr-Universität Bochum

GERMANY

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Lukas Morand

Research Interests

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Articles (10)

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

Particle trajectory prediction in discrete element simulations using a graph-based interaction-aware model

Optimizing machine learning yield functions using query-by-committee for support vector classification with a dynamic stopping criterion

Machine learning for structure-guided materials and process design

Machine learning-based sampling of virtual experiments within the full stress state

Data-Driven Accelerated Parameter Identification for Chaboche-Type Visco-Plastic Material Models to Describe the Relaxation Behavior of Copper Alloys

Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics

Efficient Exploration of Microstructure-Property Spaces via Active Learning

Deep reinforcement learning methods for structure-guided processing path optimization

Compensating data shortages in manufacturing with monotonicity knowledge

Collaborators (3)

Matthias Büschelberger

Patrick Link

Alexander Hartmaier

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