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Chris Eberl

Researcher at University of Freiburg

Publications -  7
Citations -  117

Chris Eberl is an academic researcher from University of Freiburg. The author has contributed to research in topics: Deep learning & Metamaterial. The author has an hindex of 3, co-authored 7 publications receiving 28 citations. Previous affiliations of Chris Eberl include Fraunhofer Society.

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Mechanical Metamaterials on the Way from Laboratory Scale to Industrial Applications: Challenges for Characterization and Scalability

TL;DR: An overview of the design space for metamaterials is provided, with focus on critical factors for scaling of manufacturing in order to fulfill industrial standards.
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Actuating Shape Memory Polymer for Thermoresponsive Soft Robotic Gripper and Programmable Materials.

TL;DR: One actuator element each was built into two types of unit cells for programmable materials, thus enabling the design of temperature-dependent behavior, and is expected to open up new opportunities in the fields of soft robotics and shape morphing.
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Automated Quantitative Analyses of Fatigue-Induced Surface Damage by Deep Learning

TL;DR: Generalization to multiple materials has been achieved for the DL methodology, suggesting that extending it well beyond fatigue damage is feasible.
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Efficient Experimental and Data-Centered Workflow for Microstructure-Based Fatigue Data: Towards a Data Basis for Predictive AI Models

TL;DR: A combined experimental and data post-processing workflow to establish multimodal fatigue crack initiation and propagation data sets efficiently and lays the foundation for future data mining and data-driven modeling of microstructural fatigue by providing statistically meaningful data sets extendable to a wide range of materials.