Welcome to the first edition of The Dyad Dispatch! A monthly roundup of Dyad news for the Modeling & Simulation community
Upcoming Webinars and Workshops
Mitsubishi Electric – Building High-Fidelity HVAC Models with Dyad and Scientific Machine Learning — 13 November 2025
Join Christopher Laughman (Mitsubishi Electric Research Laboratories) and Avinash Subramanian (JuliaHub) for a webinar exploring how advanced simulation tools can transform HVAC system modeling. Register here.
Sign up for Webinars With Dyad Experts
Control Systems Development in Julia - November 18
Compilation of Julia Code for Deployment in Model-Based Engineering Workflows - November 20
Leveraging Neural Networks to Uncover Missing Physics - December 03
Causal vs. Acausal Modeling: Unlocking Flexibility in System Design - December 17
Workshop at MIT — November 18
Dr. Chris Rackauckas, and Anshul Singhvi will be leading a workshop on Dyad: Agentic AI for Modeling and Simulation, on November 18, at MIT, where they will demonstrate building of real world models using AI agents.
Product News
Dyad Studio 1.2.0: Stable, Smarter, and AI-Ready
We’ve officially launched Dyad Studio v1.2.0. This release introduces:
Graphical model editor within VSCode
Submodule Support for clean, modular model libraries
Check out this short video showing how to create an RC circuit in the new diagram view:
Read more: Announcing Dyad Studio v1.2.0
Agentic AI for Model-Based Engineering
The real barrier to AI in Model-Based Engineering isn’t speed—it’s correctness. Fast code means nothing if it doesn't fulfil the fundamentals of physics.
Dyad solves this by embedding AI agents inside a constrained, unit-tested framework, ensuring models are correct by design and errors are caught early.
Watch the short demo to see how Dyad’s Agentic AI handles tasks like automated calibration with full physics validation:
View the full guide: Agentic AI for Model-Based Engineering
What’s New With ModelingToolkit
ModelingToolkit.jl continues to advance as a unified framework for modeling and simulation across ODEs, DAEs, and optimization problems.
At JuliaCon 2025, Aayush Sabharwal highlighted new features including type-stable parameters with MTKParameters, automatic Initialization for consistent start conditions, and HomotopyContinuation for polynomial systems.
Read the full article: What's New With ModelingToolkit
Dyad: Agentic AI for Modeling and Simulation
Dr. Chris Rackuackas recently facilitated a workshop on Dyad: Agentic AI for Modeling and Simulation at Norwegian University of Science and Technology(NTNU). Around 30 participants gained hands-on experience in building real-world models using over 30 million Agentic AI tokens, exploring acausal modeling, working with validated reusable components, and leveraging Dyad’s pre-built models across domains such as electrical, mechanical, HVAC, and more.
Dyad at Simulation World, Detroit
At Simulation World, JuliaHub CEO and Co-Founder Dr. Viral Shah joined industry leaders from Boeing, Cummins, Lockheed Martin, Synopsys, and Booz Allen Hamilton for a panel on Digital Engineering in the Age of AI, moderated by Dr. Prith Banerjee.
The discussion explored the future of MBSE, digital twins, simulation-driven design, AI/ML, and agentic AI, along with how the next generation of engineers will be trained for a digitally integrated future.
Read more: Simulation World
Learn by Building: The Hands-On Dyad Tutorial Series
If you’re new to Dyad, our new video series walks you from the first model to advanced control systems. Start with:
Getting Started with Dyad: build your first component library
Creating Components with Acausal Modeling: model physical laws directly
DC Motor + PID Control: design and tune controllers end-to-end
Find out more: Hands-On with Dyad
More Resources
Get Dyad Studio – Download and install the IDE to start building hardware like software.
Read the Dyad Documentation – Dive into the language, tools, and workflow.
Join the Dyad Community – Connect with fellow engineers, ask questions, and share ideas.
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