Tutorial

Agentic Modeling of a Friction Brake with Dyad

Tutorial

Agentic Modeling of a Friction Brake with Dyad

Date Published

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Date Published

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Watch how AI-powered agentic workflows in Dyad revolutionize model-based systems engineering. In this demonstration, we build a complete friction brake system model—including mechanical dynamics, thermal analysis, and vehicle integration—in just minutes instead of days. Starting with simple natural language queries, the AI agent researches physics, formulates mathematical models, generates fully-documented code, creates unit tests, performs energy balance analysis, and even calibrates parameters automatically. The result is a complete, executable system model with interactive graphical editing capabilities.

Key Features Demonstrated:

Mathematical model formulation from natural language

  • Iterative refinement with AI reasoning

  • Automatic code generation with documentation

  • Intelligent validation and debugging

  • Automated calibration workflows

  • Live graphical model editing

Speakers

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

Speakers

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

Speakers

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

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Agentic Modeling of a Friction Brake with Dyad