JuliaHub

The Two Fundamental Paradigms of System Modeling - Event - JuliaHub Learn the two core system modeling paradigms—causal and acausal—and how Dyad combines both to design physical systems and control architectures.

Causal or acausal? This webinar explores the two key paradigms of system modeling—plant-focused acausal models and control-focused causal models—and how they work together in Dyad.
juliahub.com/events/the-t...

#Dyad #JuliaLang #ModelBasedDesign #ControlSystems

Meet the Dyad Agent: An Agentic AI for Model-Based Engineering - Video - JuliaHub Discover the Dyad Agent, an agentic AI that helps engineers build, modify, and reason about physics-based system models with speed and rigor.

Engineering models are growing more complex. This session introduces the Dyad Agent—an AI assistant for model-based engineering that helps build, modify, and explore physics-based system models more efficiently.
juliahub.com/videos/meet-...

#JuliaLang #Dyad #AgenticAI #Modeling

Julia For Engineers - Introduction to Julia and Dyad - Event - JuliaHub An introductory webinar for engineers covering Julia and Dyad, with practical examples of component-based modeling, simulation, and multi-domain system analysis.

Streamline your engineering modeling workflows with Julia and Dyad. Learn how high-performance computing and component-based modeling come together to build and simulate complex systems.
juliahub.com/events/julia...

#JuliaLang #Dyad #Modeling #Simulation

Dyad Agentic AI for Modeling and Simulation Tutorial YouTube video by JuliaHub

See agentic #AI in action for real modeling workflows. In this Dyad tutorial, we build and analyze an RLC circuit—from natural language prompts to #simulation, plots, animations, and image-to-model generation.
youtu.be/8QoFf6x8qjw?...

#JuliaLang #Dyad #AgenticAI #Modeling

Julia for Engineers Part 2: Modeling Steady-State and Dynamic Systems - Event - JuliaHub Learn how to model, simulate, and analyze steady-state and dynamic systems in Dyad, capturing equilibrium and time-dependent behavior.

Model steady-state and dynamic systems in one framework. In Julia for Engineers Part 2, Dr. Ranjan Anantharaman shows how to build and simulate equilibrium and time-dependent models in Dyad.
juliahub.com/events/julia...
#JuliaLang #Dyad #Modeling #SystemSimulation

From Introducing Project Batch Jobs in Release 25.10 that helps you avoid friction and dependency drift. Learn how JuliaHub grabs your entire environment when you submit your project batch job.

Scaling from local dev to cluster shouldn’t break your workflow. Project Batch Jobs in JuliaHub 25.10 replicate your full Project environment on cluster nodes—dependencies and specs included. Launch in a click and keep outputs organized. juliahub.com/blog/project...
#JuliaLang #JuliaHub #HPC

Dyad AI Modeling Challenge: Modeling a Hybrid EV Powertrain YouTube video by JuliaHub

Join the Dyad Live Modeling Challenge as we model a Hybrid EV powertrain using agentic #AI. Watch components and system dynamics come together in real time—and see how complex models are built step by step.
www.youtube.com/live/qLfV4K2...

#Dyad #AgenticAI #EVTechnology #Powertrain #JuliaLang

Julia For Engineers - Introduction to Julia and Dyad - Event - JuliaHub An introductory webinar for engineers covering Julia and Dyad, with practical examples of component-based modeling, simulation, and multi-domain system analysis.

Discover how Julia and Dyad support modeling and simulation for engineers. Learn how high-performance computing and component-based modeling come together for multi-domain systems.
juliahub.com/events/julia...
#JuliaLang #Dyad #ModelBasedDesign #ScientificComputing

GitHub - JuliaGPU/JACC.jl: CPU/GPU portable array, parallel_for/parallel_reduce in Julia for productive science. Funded by the US DOE Advanced Scientific Computing Research (ASCR). CPU/GPU portable array, parallel_for/parallel_reduce in Julia for productive science. Funded by the US DOE Advanced Scientific Computing Research (ASCR). - JuliaGPU/JACC.jl

JACC v1.0 brings performance-portable parallelism to CPU & GPU computing with high-level APIs for arrays and execution. Born at Oak Ridge to turn DOE HPC research into practical tools for scientists.
github.com/JuliaGPU/JAC...

#JuliaLang #HPC #GPUComputing #OpenSource

JuliaCon Global 2026 CFP is open through Feb 28, 2026 (23:59 CET). Join us in Mainz, Germany (Aug 10–15) and share your work with the global Julia community across industry and academia. Submit here: pretalx.com/juliacon-202...
#JuliaCon #JuliaLang #CFP #OpenSource #ScientificComputing #DataScience

GitHub - dzhang314/MultiFloats.jl: Fast CPU/GPU-accelerated extended-precision arithmetic in Julia Fast CPU/GPU-accelerated extended-precision arithmetic in Julia - dzhang314/MultiFloats.jl

MultiFloats.jl v3.0 is here — delivering faster, more accurate extended-precision arithmetic (128–256 bit). The latest release introduces new algorithms that outperform v2.0 in both speed and accuracy.

github.com/dzhang314/Mu...
#JuliaLang #MultiFloats #HighPrecision #ScientificComputing #HPC

February 2026 Newsletter: JuliaHub Launches Dyad 2.0 with Agentic AI & More - Blog - JuliaHub In this newsletter, we are happy to share the launch of Dyad 2.0 with Agentic AI and a host of publications that have featured JuliaHub, Dyad and SciML recently

February JuliaHub #newsletter is live—spotlighting Dyad 2.0 with agentic #AI, new modeling livestreams, #SciML breakthroughs, media features, and upcoming #webinars. Explore how physics-based AI is reshaping engineering workflows.
juliahub.com/blog/februar...

#JuliaHub #Dyad #AgenticAI #JuliaLang

Dyad AI Modeling Challenge: Real-Time Quadcopter Interactions YouTube video by JuliaHub

Join the Dyad Live Modeling Challenge as we continue our quadcopter #simulation. Watch agentic #AI reason, iterate, and refine the model in real time while engineers unpack system dynamics step by step.
www.youtube.com/live/8AxLsL4...

#JuliaLang #Dyad #AgenticAI #Robotics #ControlSystems

Compilation of Julia Code for Deployment in Model-Based Engineering Workflows - Video - JuliaHub Learn how Julia compiles models to fast binaries for real-time model-based design, embedded systems, and scientific computing—without relying on C code.

Julia’s latest compiler advances enable direct binary compilation for model-based #engineering. This session shows real examples—from Raspberry Pi state estimation to shared PID libraries—supporting scalable, real-time deployment without C code.
juliahub.com/videos/compi...
#JuliaLang #Embedded

Chris Rackauckas-Why Julia_s GPU-Accelerated ODE Solvers are 20x-100x Faster than Jax and PyTorch YouTube video by PyData

Julia’s GPU-accelerated ODE solvers deliver 20–100× speedups over JAX and PyTorch. In this talk, Chris Rackauckas explains the GPU architecture choices behind the gains—and where they matter most.
youtu.be/ZSFfv2cckx0

#JuliaLang #GPUComputing #SciML #HPC #ScientificComputing

Dyad AI Modeling Challenge: Quadcopter Simulation with Real-Time Interaction - Video - JuliaHub Watch how Dyad’s agentic AI builds a quadcopter model with real-time interaction using Makie.jl in this hands-on recorded session.

See Dyad’s agentic AI build an interactive quadcopter simulation in real time. This session covers model construction, control, and live interaction using Makie—showing AI-assisted engineering in practice.
juliahub.com/videos/dyad-...

#Dyad #AgenticAI #JuliaLang #Robotics #SystemSimulation

Meet the Dyad Agent: An Agentic AI for Model-Based Engineering - Video - JuliaHub Discover the Dyad Agent, an agentic AI that helps engineers build, modify, and reason about physics-based system models with speed and rigor.

Meet the Dyad Agent—an agentic #AI assistant for model-based #engineering. See how it works with #Dyad models and #simulations to support model creation, refactoring, debugging, and exploration, with validation built in.
juliahub.com/videos/meet-...
#JuliaLang #AgenticAI #ModelBasedEngineering

JuliaC: A New Tool for Building Julia Binaries - Video - JuliaHub Explore JuliaC, a new toolchain for building Julia executables and shared libraries, enabling embedded systems and cross-language integration.

JuliaC introduces a new way to build executables and shared libraries directly from Julia. See how compact binaries make Julia practical for systems and embedded applications.
juliahub.com/videos/julia...
#JuliaLang #JuliaC #SystemsProgramming #EmbeddedSystems #HPC

At AIAA SciTech, JuliaHub demonstrated Dyad’s agentic AI for interacting with complex, physics-based models. From aerospace to fluid mechanics, Dyad sparked conversations on scalable, trustworthy AI-assisted engineering.
juliahub.com/blog/juliahu...
#julialang #JuliaHub #Dyad #SciML #EngineeringAI

Meet the Dyad Agent: An Agentic AI for Model-Based Engineering - Event - JuliaHub Discover the Dyad Agent—an agentic AI for model-based engineering that accelerates model creation, refactoring, and simulation with physics-grounded workflows.

Engineering models are getting more complex—and the tools to work with them must evolve. This webinar explores the #Dyad Agent and how agentic AI helps engineers build, modify, and reason about system models using physics-grounded workflows.
juliahub.com/events/intro...
#JuliaLang #AgenticAI #SciML

Interactive Dashboards with Dyad and Makie.jl - Video - JuliaHub Learn to build interactive dashboards by linking Dyad models with Makie.jl visualisations in this hands-on live webinar.

See how Dyad and Makie.jl turn system models into interactive dashboards. Build dynamic plots, explore parameter sweeps with live UI controls, and move beyond static charts to 3D, physics-based #visualizations.
juliahub.com/videos/inter...
#Dyad #Makie #JuliaLang #DataVisualization #SystemSimulation

Dyad Modeling Live! Agentic AI for Quadcopter Models YouTube video by JuliaHub

See Dyad’s #AI #Modeling Challenge as we build an interactive #quadcopter #simulation. Watch the #drone respond to real-time inputs in a dynamic environment—showcasing agentic modeling and control in practice.
www.youtube.com/live/mXQ391m...

#JuliaLang #AgenticAI #Robotics #ControlSystems

Featured in Machine Design: The Predictive Maintenance Breakthrough Manufacturing Needed - Blog - JuliaHub Insights from our Machine Design article on how physics-informed Scientific Machine Learning enables more reliable predictive maintenance in manufacturing.

Machine Design highlights how Scientific Machine Learning is transforming #predictive #maintenance. By combining physics with data, #SciML delivers scalable, reliable insights—even with limited telemetry. juliahub.com/blog/juliahu...

#Julialang #DigitalTwins #Manufacturing #JuliaHub

Meet the Dyad Agent: An Agentic AI for Model-Based Engineering - Event - JuliaHub Discover the Dyad Agent—an agentic AI for model-based engineering that accelerates model creation, refactoring, and simulation with physics-grounded workflows.

#Engineering models keep getting more complex—and agentic #AI is changing how engineers work with them.

This webinar shows how the Dyad Agent helps build, extend, and reason about system models using AI grounded in real physics.
juliahub.com/events/intro...

#Dyad #AgenticAI #ModelBasedDesign

Announcing Dyad v.2.0.0, Dyad Modeling Live Stream Challenge & more - Blog - JuliaHub The January Newsletter talks about the upcoming Dyad 2.0 release and Dyad's live stream modeling challenge where modelers solve complex engineering challenges with Agentic AI.

The January #JuliaHub #newsletter is here—covering the upcoming Dyad v2.0 release with #agentic #AI, a new Dyad Modeling Live series, #webinars, and highlights from the Julia open-source ecosystem.
juliahub.com/blog/announc...

#JuliaLang #Dyad #AgenticAI #ScientificComputing #OpenSource

Generating a Coffee Cup Thermal Model from a Schematic with Dyad's Agentic AI - Video - JuliaHub See how Dyad’s agentic AI turns a schematic into a full thermal model—identifying components, generating code, and running system simulations automatically.

Dyad’s #agentic #AI turns a single schematic into a full thermal model—identifying components, generating physics-based parameters, calibrating results, and producing clear visualizations.
juliahub.com/videos/gener...

#Dyad #JuliaLang #AgenticAI #SystemSimulation #ScientificComputing

Dyad Live Modeling Challenge: Building a Quadrotor Model with Agentic AI - Blog - JuliaHub Our recent Dyad Modeling challenge live stream featured a hands-on quadrotor modeling and simulation workflow.

We built a quadrotor model step by step using agentic AI—from a 6-DoF controller to drag, motor dynamics, and wind. See how Dyad updates equations, validates models, and visualizes results in real time.
juliahub.com/blog/buildin...
#Dyad #AgenticAI #JuliaLang #SystemSimulation #Robotics

Interactive Dashboards with Dyad and Makie.jl - Event - JuliaHub Learn to build interactive dashboards with Dyad and Makie.jl—run live SciML parameter sweeps, UI-driven simulations, and 3D visualizations.

Build interactive #dashboards with #Dyad and Makie.jl. Learn how to connect system models to dynamic #visualizations, run live parameter sweeps with UI controls, and explore 3D, physics-based views.
juliahub.com/events/inter...

#Dyad #Makie #JuliaLang #ScientificComputing

Meet the Dyad Agent: An Agentic AI for Model-Based Engineering - Event - JuliaHub Discover the Dyad Agent—an agentic AI for model-based engineering that accelerates model creation, refactoring, and simulation with physics-grounded workflows.

Engineering models are getting more complex. The Dyad Agent is an agentic AI that helps engineers build, extend, and reason about system models more efficiently, with workflows grounded in real physics.
juliahub.com/events/intro...
#Dyad #AgenticAI #ModelBasedDesign #JuliaLang #webinar

Fast Export of Functional Mockup Units in Dyad - Video - JuliaHub Learn how Dyad's new JuliaC compilation workflow creates much smaller (~55 MB) and much faster (~2 min) Functional Mockup Units (FMUs). Accelerate your simulation workflow by eliminating large file si...

Dyad now exports smaller, faster Functional Mockup Units by leveraging JuliaC—cutting FMU size and compile time while maintaining full FMI support for system simulation and co-simulation workflows.

juliahub.com/videos/fast-...

#JuliaLang #Dyad #FMU #SystemSimulation