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Faculty of Engineering Science

Kuenneth Group - Materials Informatics - Prof. Dr. Christopher Künneth

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EFRE - EVIDENZ 

Projektbeschreibung:

The AI-supported platform to be developed is designed to optimize material development, production, and quality assurance through Bayesian optimization. The solution is user-friendly, can be installed in compliance with data protection regulations, and is intended to enable both direct machine connection and support from a GenAI assistant. Practical evaluation in companies ensures optimal application and strengthens their competitiveness through cost-saving, innovative processes.

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Hauptziele Projekt:

  • Knowledge transfer between research and industry
  • Implementation of a user-friendly, on-site web platform for Bayesian optimization to significantly accelerate and optimize experimental design
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Projektteam:

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Prof. Dr. Christopher Künneth
Project Management

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Lukas Wölfel (M. Sc)
Project Collaborator


Webmaster: Christopher Künneth

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