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JuliaHub
@juliahub.bsky.social
A single platform for modeling, simulation, and custom applications. JuliaHub's supercomputing infrastructure powers breakthroughs with multi-threading, parallel, and distributed computing.
Tired of rebuilding the same components for every project? Dyad’s standard libraries let you model faster with reusable, declarative #acausal components across electrical, mechanical, thermal, and fluid domains.
juliahub.com/blog/modelin...
#JuliaLang #Dyad #SystemSimulation
Stop Re-Inventing the Wheel: Modeling with Dyad’s Standard Libraries - Blog - JuliaHub
Discover how Dyad’s standard libraries simplify system modeling with ready-to-use, extensible components across electrical, mechanical, thermal, and fluid domains. Build faster, reuse models, and inte...
juliahub.com
November 13, 2025 at 6:33 PM
See how Dyad’s #Agentic #AI builds a complete thermal model from just an image. In this demo, it recreates a coffee cup cooling model from a schematic—analyzing components, generating parameters, and calibrating results.
youtu.be/eKLDVCkJC1s?...
#JuliaLang #Dyad #SystemSimulation
Generating a Coffee Cup Thermal Model from a Schematic with Dyad's Agentic AI
YouTube video by JuliaHub
youtu.be
November 12, 2025 at 5:15 PM
The Dyad Dispatch: November 2025 is here!
Catch the latest in #modeling & #simulation—webinars, workshops, and product updates like Dyad Studio v1.2.0 and Agentic #AI for Model-Based Engineering.
juliahub.com/blog/dyad-ne...
#JuliaLang #Dyad #SystemSimulation
The Dyad Dispatch: November 2025 - Blog - JuliaHub
The first edition of The Dyad Dispatch. News, views, workshops, and webinars from the world of Dyad.
juliahub.com
November 11, 2025 at 2:51 PM
Interpreting Julia code is key to understanding how the language executes and powers its tool ecosystem. Explore how JuliaInterpreter.jl enables Debugger.jl, VSCode, JET.jl, and Revise.jl in this session.

youtu.be/Z56ri7G8nMM?...

#JuliaLang #JuliaProgramming #JuliaInterpreter
Interpreting Julia code | Carlsson | JuliaCon Global 2025
YouTube video by The Julia Programming Language
youtu.be
November 10, 2025 at 7:12 PM
Unseen factors can make or break control systems. Learn how Scientific Machine Learning (SciML) in Julia models unknown disturbances—like sunlight’s effect on smart home temperature—to improve prediction and control.
juliahub.com/blog/disturb...
#JuliaLang #SciML #SystemSimulation
Learning the Unseen: Disturbance Modeling with Scientific Machine Learning in Julia - Blog - JuliaHub
We explore how to use Scientific Machine Learning (SciML) to learn how to model a disturbance by combining a physics-based model of a house's temperature with a small, interpretable neural network tha...
juliahub.com
November 10, 2025 at 5:18 PM
Join us for a webinar on Control Systems Development in Julia with Dr. Ranjan Anantharaman. Learn how to model, analyze, and design PID controllers for closed-loop systems.

📅 Nov 18, 2025 | 1:00 PM EDT
juliahub.com/events/contr...

#JuliaLang #ControlSystems #ModelBasedDesign
Control Systems Development in Julia - Event - JuliaHub
Explore control systems modeling in Julia—from plant simulation to PID controller design—using advanced tools for dynamic system simulation.
juliahub.com
November 7, 2025 at 3:18 PM
Dyad Studio v1.2.0 is here!
Build and #visualize #models with the new Graphical Model Builder and Diagram View, explore the Dyad Components panel, and enjoy smoother compilation output.
juliahub.com/blog/announc...
#JuliaLang #Dyad #SystemSimulation #ModelBasedDesign
Announcing Dyad Studio v1.2.0 - Blog - JuliaHub
Dyad now lets you build models graphically, auto-layout components, switch between text and diagram views, and access improved Julia code generation.
juliahub.com
November 6, 2025 at 4:02 PM
What if ODE solvers weren’t just numerical?
Dr. Chris Rackauckas shows how Julia’s symbolic-numeric tricks supercharge stiff ODE/DAE solvers—making them faster & more robust than ever.
Watch here: www.linkedin.com/feed/update/...
#JuliaLang #ModelingToolkit #ScientificComputing
Fast Stiff ODE/DAE Solvers via Symbolic-Numeric Compiler Tricks | Rackauckas | JuliaHub
What if ODE solvers weren’t just numerical black boxes? In this talk, Dr. Chris Rackauckas breaks convention with Julia by integrating symbolic-numeric techniques into stiff ODE/DAE solvers. Discover ...
www.linkedin.com
November 5, 2025 at 5:19 PM
Causal modeling defines signal flow, but it gets rigid as systems scale. Acausal modeling focuses on physical relationships—letting equations form automatically. See how Dyad, built on Julia and #SciML, makes system #modeling more scalable and reusable. juliahub.com/blog/causal-...
#JuliaLang #Dyad
Causal vs. Acausal Modeling: Unlocking Flexibility in System Design - Blog - JuliaHub
Explore the shift from causal to acausal modeling and how it improves flexibility, scalability, and simulation performance in complex engineering systems.
juliahub.com
November 5, 2025 at 1:49 PM
Accurate refrigerant mass estimation is key to #HVAC efficiency and compliance. Join Mitsubishi Electric + JuliaHub to see how #ModelingToolkit and #SciML enable a #digitaltwin estimator with <2% error using only pressure & temperature data.
juliahub.com/events/mitsu...
#JuliaLang #Simulation #Dyad
Mitsubishi Electric – Building High-Fidelity HVAC Models with Dyad and Scientific Machine Learning - Event - JuliaHub
Learn how Mitsubishi Electric used Dyad and SciML to build a high-fidelity HVAC model that predicts refrigerant mass with less than 2% error.
juliahub.com
November 4, 2025 at 4:39 PM
Rigid tools hold engineers back. Learn how #Dyad (built on Julia) supports scalable, reusable model design with acausal #modeling + #simulation—all in one environment.
Watch here:
juliahub.com/videos/rethi...

#JuliaLang #Dyad #SystemModeling
Rethinking Model Design Modern, Reusable, and Built to Scale - Video - JuliaHub
This webinar introduces system modeling using Dyad, a modern, flexible modeling language built on Julia. We’ll show how you can design scalable models—starting with a simple RLC circuit—and simulate t...
juliahub.com
November 3, 2025 at 4:37 PM
The latest State of Julia dives into executables, threading, RISC-V, Pkg updates & how #AI is shaping open-source development.
Watch the recap + Q&A:
youtu.be/-60gOIGoD7U?...
#JuliaLang #ScientificComputing #OpenSource #JuliaCon
State of Julia | Hafner, Fischer | JuliaCon Global 2025
YouTube video by The Julia Programming Language
youtu.be
October 30, 2025 at 6:18 PM
New to system #modeling or ready to level up? Learn RLC circuits, acausal modeling & PID control with Dyad’s hands-on tutorials.
Start building real models now →
juliahub.com/blog/a-step-...
#JuliaLang #Dyad #SystemSimulation #ModelBasedDesign
Hands-On with Dyad: Learn Acausal Modeling and Advanced Simulation - Blog - JuliaHub
If you are new to Dyad then this series of Dyad tutorials will help you to get started quickly.
juliahub.com
October 29, 2025 at 6:26 PM
Refrigerant mass estimation in #HVAC just got easier. Join experts from Mitsubishi Electric & JuliaHub for a #webinar on using #SciML + #ModelingToolkit to build a high-accuracy, non-invasive model using just pressure & temp data. juliahub.com/events/mitsu...
#julialang #DigitalTwin #Dyad
Mitsubishi Electric – Building High-Fidelity HVAC Models with Dyad and Scientific Machine Learning - Event - JuliaHub
Learn how Mitsubishi Electric used Dyad and SciML to build a high-fidelity HVAC model that predicts refrigerant mass with less than 2% error.
juliahub.com
October 28, 2025 at 5:39 PM
Got a tough #modeling or Digital Twin challenge? Get a free expert review of your
SciML/controls/deployment problems with Dyad. See how our next-gen platform simplifies everything.
juliahub.com/blog/get-you...
#julialang #DigitalTwin #SciML #Dyad
Get Your Modeling Problems Reviewed by a Dyad Expert At No Cost - Blog - JuliaHub
Interested to learn how Dyad can help your specific modeling and simulation use case? Set up a free review session with our experts and learn how you can make the most of this platform.
juliahub.com
October 27, 2025 at 6:42 PM
Scientific Modeling Cheatsheet: SciML has published a quick reference cheatsheet translating hundreds of functions between Julia, Python and MATLAB. Click here for more. sciml.github.io/Scientific_M...
#JuliaLang #SciML #Python #MATLAB #ScientificComputing #DataScience #Cheatsheet #Engineering
October 24, 2025 at 3:10 PM
Our October 2025 newsletter is out! Highlights include: Julia 1.12 with ∼1MB binaries, Dyad's new Agentic #AI for physically correct #engineering models, and Dr. Viral Shah at #Simulation World!
Read all the news:
juliahub.com/blog/october...
#JuliaLang #AgenticAI #Dyad #MBSE #ScientificComputing
October 2025 Newsletter - Agentic AI for Model-Based Engineering, Dr Viral Shah at Simulation World, and Julia 1.12 Released - Blog - JuliaHub
Explore October 2025 highlights — from Dyad’s Agentic AI for Model-Based Engineering and Dr. Viral Shah’s insights at Simulation World to the release of Julia 1.12 with major performance upgrades.
juliahub.com
October 23, 2025 at 2:40 PM
Stop unpredictable system failure! Learn how to use Kalman filters in Dyad for real-time fault detection and seamless cloud deployment. Join our technical deep-dive:
juliahub.com/events/build...

#Julialang #StateEstimation #KalmanFilter #DigitalTwin #PredictiveMaintenance #Dyad #webinar
Building and Deploying a Predictive Maintenance Solution using Dyad - Event - JuliaHub
Learn how to build and deploy a predictive maintenance solution for a water treatment plant using a digital twin built with Dyad and JuliaHub.
juliahub.com
October 22, 2025 at 4:17 PM
Build complex engineering models in minutes, not days! Our new demo shows how Dyad's Agentic AI builds a complete, ready-to-deploy friction brake model (thermal, mechanical, vehicle integration) using just natural language.
youtu.be/hIkbUBqi6sI?...
#julialan#AgenticAI #Dyad #Engineering #Simulation
Agentic modeling of a friction brake with Dyad, LLMs for Model-Based Systems Engineering
YouTube video by JuliaHub
youtu.be
October 21, 2025 at 5:42 PM
Stop letting unplanned downtime sink your budget! Join Dr. Ranjan Anantharaman to see how Dyad uses State Estimators & #DigitalTwins to move you from reactive scrambling to confident, proactive maintenance.
juliahub.com/events/fault...
#julialang #Dyad #Engineering #webinar #simulation
Fault Detection using State Estimators and Digital Twins with Dyad - Event - JuliaHub
Predict and prevent equipment failure with state estimators and digital twins. Learn how to transition from reactive to predictive maintenance.
juliahub.com
October 20, 2025 at 3:48 PM
High-Performance Scientific #Modeling with Julia and SciML: This workshop offers in-depth training on advanced scientific computing techniques using the Julia programming language and the SciML (Scientific Machine Learning) ecosystem. github.com/SciML/Julia_...
#JuliaLang #SciML #ScientificComputing
GitHub - SciML/Julia_Modeling_Workshop: High-Performance Scientific Modeling with Julia and SciML
High-Performance Scientific Modeling with Julia and SciML - SciML/Julia_Modeling_Workshop
github.com
October 16, 2025 at 6:25 PM
Stop reacting to failures and start predicting them! Join Dr. Ranjan Anantharaman to learn how #Dyad uses #StateEstimators & #DigitalTwins to detect anomalies, move you to predictive maintenance, and prevent costly downtime.
Register here: juliahub.com/events/fault...
#julialang #webinar #simulation
Fault Detection using State Estimators and Digital Twins with Dyad - Event - JuliaHub
Predict and prevent equipment failure with state estimators and digital twins. Learn how to transition from reactive to predictive maintenance.
juliahub.com
October 15, 2025 at 4:38 PM
AI-assisted engineering is only valuable if it's correct. #Dyad is flipping the script on Model-Based #Engineering by embedding #AI agents in a constrained, unit-tested framework to validate physics. We deliver models that are "correct by construction," not just fast.
juliahub.com/blog/agentic...
Agentic AI for Model-Based Engineering: How Dyad Ensures Correctness Through Constrained, Unit-Checked Modeling - Blog - JuliaHub
Dyad’s agentic AI transforms model-based engineering by combining AI agents with constrained, unit-tested modeling to ensure correctness, physical consistency, and real-world reliability—turning compl...
juliahub.com
October 14, 2025 at 4:15 PM
Open Source Friday is live with Julia's co-creator Viral B. Shah and fellow creators/contributors. Learn how Julia bridges the gap between Python's ease and C's speed for HPC, data science, and scientific ML. Tune in!

www.youtube.com/live/7_t7M6j...

#JuliaLang #OpenSource #TechCommunity #HPC
Open Source Friday: Julia – High-Performance Open Source Language
YouTube video by GitHub
www.youtube.com
October 10, 2025 at 3:28 PM
Tired of rigid tools? Dyad solves the custom physics dilemma. Build your own reusable, acausal components that seamlessly integrate the flexibility of code with #GUI composability. Stop hacking one-off scripts and start building scalable system models!
juliahub.com/blog/build-y...
#JuliaLang #Dyad
Build Your Own Physics Blocks: Creating Components in Dyad - Blog - JuliaHub
Learn how to create custom physics components in Dyad—turn equations into reusable, acausal blocks, assemble full systems, and simulate seamlessly with Julia’s scientific ecosystem.
juliahub.com
October 9, 2025 at 5:03 PM