Join Us: Next-Generation System Simulation with Dyad A Hybrid Workshop on Agentic Engineering and Scientific Machine Learning
Modern engineering simulation is undergoing a major shift. By combining Agentic Workflows (AI agents driving model setup, execution, and analysis) with Scientific Machine Learning (SciML) (physics-informed AI and surrogate modeling), teams can dramatically accelerate design cycles.
We invite you to an interactive, hands-on workshop demonstrating how Dyad by JuliaHub powers this dual revolution.
Agenda & Flexible Registration Options
You may attend for the Full Day, or select the Morning or Afternoon session depending on your focus:
Date: Oct. 20, 2026
Morning Session: Agentic Engineering in System Simulation
Time: 09:00 – 12:30
Leveraging AI agents to build, configure, and inspect dynamic models. • Automating complex simulation sweeps and error diagnostics in Dyad. • Natural-language interaction for model reasoning and design optimization.
12:30 – 13:30
Networking Lunch
Afternoon Session: Scientific Machine Learning (SciML)
13:30 – 17:00
Combining differential equations with neural networks in Dyad. • Training physics-informed surrogate models for real-time digital twins. • System identification and parameter estimation for hybrid models.
Who Should Attend?
Morning Session: System Simulation Engineers, Control Engineers, and Systems Architects looking to automate design workflows and integrate AI agents.
Afternoon Session: Data Scientists, CAE Engineers, and Research Engineers looking to embed ML into physics-based models.
Full Day: Engineering leads and researchers seeking end-to-end mastery of AI-native simulation toolchains.
Location: Paris, Cocoon Space
