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      Integrating Machine Learning and Generative AI into Simulation Data Management (SCALE.sdm)

      M. Thiele, M. Pintado, A. Gärttner (SCALE), D. Steffes-lai, T. Klein (SCAI Fraunhofer)
      Ansys EMEA Transportation Summit and LS-DYNA User Conference, October 2025

      Abstract (PDF)
      Presentation (PDF)

      Overview

      This presentation demonstrates how machine learning and generative AI can be integrated directly into Simulation Data Management (SDM) workflows to ease the burden on engineering teams. The aim is not to replace simulation experts but to support them with intelligent tools that automate routine tasks and enable focus on complex challenges.

      The AI features presented range from automated creation of change documentation and chatbot-supported access to simulation data to AI assistance in pre-processing tools and machine learning for the analysis of large simulation results. They show how AI can make processes more efficient and more accurate.

      With this approach, the SDM platform becomes an intelligent, data-driven development environment for simulation experts. The combination of automation and advanced analytics opens new opportunities in research and product development and sets a modern standard for industry.

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