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JuliaHub

@juliahub.bsky.social

380 followers 3 following 270 posts

A single platform for modeling, simulation, and custom applications. JuliaHub's supercomputing infrastructure powers breakthroughs with multi-threading, parallel, and distributed computing.

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JuliaHub @juliahub.bsky.social · 6h

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 @juliahub.bsky.social · 1d

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 @juliahub.bsky.social · 5d

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

JuliaHub @juliahub.bsky.social · 6d

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 @juliahub.bsky.social · 7d

AI-assisted modeling just got smarter.
Our latest demo shows how Dyad and Cursor AI work together to accelerate system modeling — from natural language circuit creation to real-time analysis and visualization.
youtu.be/awwJPWIlXXM
#Dyad #JuliaLang #AI #SciML #EngineeringSimulation #CursorAI

Demonstration of AI-Assisted Modeling in Dyad with Cursor AI

YouTube video by JuliaHub

JuliaHub @juliahub.bsky.social · 8d

Stop rewriting code! #Dyad’s acausal libraries accelerate your workflow. Use ready-to-use components across all major physical domains (electrical, mechanical, thermal, fluid) to streamline multi-domain #modeling in one Julia-native environment.
juliahub.com/blog/modelin... #JuliaLang #SciML

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 @juliahub.bsky.social · 9d

A massive new JuliaHub update is here! Focus on reproducibility, flexibility, and control. Introducing #TimeCapsule (immutable job reproduction), #StaticCode Analysis, and automatic Git LFS for large files. Log in to explore the full update! juliahub.com/blog/power-p...
#JuliaLang #ModelingToolkit

Power, Precision, and Performance: Recent Updates to JuliaHub Copy - Blog - JuliaHub

Discover the latest JuliaHub updates: reproducible jobs, static code analysis, large file handling, flexible environments, and enhanced admin controls.

JuliaHub @juliahub.bsky.social · 12d

Cut IT costs and keep high performance! Our video shows how Julia’s pre-compilation and Sysimage Service help you migrate from licensed compute to a cost-conscious model.
juliahub.com/events/diale...
#JuliaLang #SysimageService #OpenSource #Efficiency #CostOptimization #HighPerformanceComputing

Dialed-in, Not Locked-In: Migrating to Scalable & Cost-Conscious Compute on JuliaHub - Event - JuliaHub

Migrate to a cost-conscious compute model without sacrificing performance. This webinar shows how to optimize cloud costs using Julia's speed.

JuliaHub @juliahub.bsky.social · 15d

We partnered with ARPA-E to unlock 30% energy savings. See how JuliaHub drove massive efficiency by taking complex HVAC simulations from weeks to real-time.
juliahub.com/case-studies...
#JuliaLang #JuliaHub #ModelingToolkit #SciML #DigitalTwins #MachineLearning #HVAC #SystemModeling #Simulation

Advancing the Goals of the ARPA-E’s DIFFERENTIATE Program with Julia - Case Study - JuliaHub

Explore how JuliaHub empowered ARPA-E's DIFFERENTIATE program to optimize HVAC systems, boosting energy efficiency, reducing simulation times, and integrating machine learning for real-time results.

JuliaHub @juliahub.bsky.social · 16d

Stop reinventing the wheel! This video shows how Dyad's ready-to-use component libraries accelerate your modeling workflow. Learn to quickly build and analyze multi-domain models (electrical, mechanical, fluid) using a DC Motor example.
juliahub.com/events/model...
#Julialang #Modeling #Simulation

Model Efficiently: Leveraging Standard Libraries for Rapid System Design - Event - JuliaHub

Discover how Dyad’s standard libraries simplify system modeling. Build, simulate, and analyze complex designs faster with reusable components.

JuliaHub @juliahub.bsky.social · 20d

We've released Dyad Studio v1.0.0! Our first stable release adds AI integration, submodule support, and syntax improvements. It's powered by the updated Julia ecosystem and ModelingToolkit v10.
juliahub.com/blog/announc...
#JuliaLang #Dyad #SoftwareEngineering #SystemModeling #AI

Announcing Dyad Studio v1.0.0 - Blog - JuliaHub

We are proud to announce our latest release of Dyad Studio, v1.0.0! This is the first stable release of the Dyad language.

JuliaHub @juliahub.bsky.social · 21d

Julia and #ModelingToolkit.jl are a powerful combination for engineers. This video explores how to model and analyze both steady-state and dynamic systems, showing how to efficiently set up, solve, and interpret system responses.
juliahub.com/videos/julia...
#JuliaLang #SciML #Engineering

Julia for Engineers: Modeling Steady State and Dynamic Systems with Dyad - Video - JuliaHub

This webinar recording demonstrates how to model and simulate hydraulic actuators in Julia using ModelingToolkit.jl—covering steady-state and dynamic system behavior in one session.

JuliaHub @juliahub.bsky.social · 22d

The package now includes MTKParameters for optimization, improved initialization, dynamic optimization, and new polynomial solvers. It's a major boost for modeling and simulation.
juliahub.com/blog/what-s-...
#JuliaLang #SciML #ModelingToolkit #Engineering #NumericalMethods #ScientificComputing

What's New With ModelingToolkit - Blog - JuliaHub

This is a short preview of Aayush Sabharwal's JuliaCon 2025 talk that explored the growth of ModelingToolkit over the past couple of years.

JuliaHub @juliahub.bsky.social · 23d

Stuck on a complex modeling problem?
Get a free review with a Dyad expert! We'll give you hands-on guidance and actionable insights to move your project forward, whether you're building physical models or digital twins.
juliahub.com/blog/get-you...
#julialang #Modeling #DigitalTwins #SciML #FMU

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 @juliahub.bsky.social · 27d

Frustrated with large, slow model exports? A major improvement to how FMUs are generated is here.
A new workflow in Julia 1.12 creates much smaller FMUs (~55 MB) and is significantly faster (~2 min compilation time). Join our webinar to learn more! juliahub.com/events/fast-...
#JuliaLang #Dyad #FMU

Fast Export of Functional Mockup Units in Dyad - Event - JuliaHub

Exporting FMUs in Dyad is now faster and more efficient. Learn how the new Julia 1.12 workflow creates smaller, high-performance files.

JuliaHub @juliahub.bsky.social · 29d

Major enhancements have been made to JumpProcesses.jl. This Julia package for stochastic #simulations now has a vr_aggregator for variable rate jumps and a #GPU-enhanced solver with up to 10x speedups.
sciml.ai/news/2025/09...
#JuliaLang #SciML #JumpProcesses #OpenSource #StochasticSimulations

SciML: Open Source Software for Scientific Machine Learning

Open Source Software for Scientific Machine Learning

JuliaHub @juliahub.bsky.social · Sep 12

Don't reinvent the wheel! Join our webinar on Wed, Sep 24 at 1 PM ET to learn how to model complex systems fast with Dyad's libraries. We'll show you how to use pre-built components.
juliahub.com/company/reso... #JuliaLang #Dyad #SciML #Engineering #Modeling
#Simulation #Research #Prototyping

Model Efficiently: Leveraging Standard Libraries for Rapid System Design

Discover how Dyad’s standard libraries simplify system modeling. Build, simulate, and analyze complex designs faster with reusable components.

JuliaHub @juliahub.bsky.social · Sep 10

Frustrated with rigid modeling tools? Our new video shows a smarter approach with Dyad and Julia.
Learn to build scalable, reusable models and streamline your simulation workflow. Watch now!
juliahub.com/company/reso...
#JuliaLang #Dyad #SciML #OpenSource #Tech #SystemModeling #SystemsEngineering

Rethinking Model Design: Modern, Reusable, and Built to Scale

Learn how to build scalable, reusable system models with Dyad—an intuitive modeling approach that simplifies simulation and works across domains.

JuliaHub @juliahub.bsky.social · Sep 9

Struggling to model steady-state & dynamic systems? Our new video shows how engineers use Julia and ModelingToolkit to build a hydraulic actuator model.
Learn a unified workflow to capture both behaviors efficiently.
juliahub.com/company/reso...
#JuliaLang #ModelingToolkit #OpenSource #SciML

Julia for Engineers: Modeling Steady-State and Dynamic Systems with Dyad

Learn how to model and simulate hydraulic actuators in Julia using ModelingToolkit.jl—covering steady-state and dynamic system behavior in one session.

JuliaHub @juliahub.bsky.social · Sep 8

Frustrated with satellite power analysis? Our new video shows how open-source Julia tools unify orbit and power system modeling in one place.

juliahub.com/company/reso...

#JuliaLang #SciML #SpaceTech #Engineering #Robotics #OpenSource

Power Subsystem Design for Small Satellites in Julia

Explore a unified approach to satellite power system design using Julia's open-source tools—fast, reproducible, and ideal for small satellite missions.

JuliaHub @juliahub.bsky.social · Sep 5

Designing satellite power systems often means juggling fragmented tools. With #Dyad, powered by Julia + #SciML, engineers can unify orbital analysis + power #modeling in one workflow—enabling high-fidelity simulations + faster design decisions. juliahub.com/blog/satelli...
#JuliaLang #Simulation

Satellite Power Analysis: A Fast, Composable, High-Fidelity Approach

In this post, we’ll walk through how Julia, SatelliteToolbox.jl, and Dyad provide a unified framework for satellite solar panel modeling and power prediction.

JuliaHub @juliahub.bsky.social · Sep 4

AI from Formula 1 meets the UK water sector. JuliaHub, Binnies & Williams bring SciML to enable predictive maintenance—95% accuracy, energy savings & resilience.
juliahub.com/blog/uk-wate...
#Julialang #AI #SciML #WaterIndustry #PredictiveMaintenance #F1Tech #Sustainability

UK Water Report Spotlights JuliaHub, Binnies & Williams Partnership Driving Predictive Maintenance

The UK Water Report (September 2025) highlights the role of Binnies, Williams Grand Prix Technologies and JuliaHub in predictive asset maintenance.

JuliaHub @juliahub.bsky.social · Sep 2

Binnies, Williams, & JuliaHub are bringing SciML to the UK water sector—helping shift from reactive fixes to predictive resilience. Early pilots with Southern Water & Anglian Water show the potential. smartwatermagazine.com/news/smart-w...
#julialang #SciML #AI #DigitalTwins #WaterIndustry #UKWater

Binnies, Williams, and JuliaHub partner to bring scientific machine learning to UK water sector

Binnies, Williams Grand Prix Technologies, and JuliaHub have announced a partnership to introduce scientific machine learning (SciML) to the UK water se...

smartwatermagazine.com

JuliaHub @juliahub.bsky.social · Sep 1

Why Dyad? Built on Julia + SciML, Dyad bridges hardware + software with symbolic modeling, scalable solvers & modern standards—enabling faster, more trustworthy engineering workflows.
juliahub.com/blog/why-dya...
#JuliaLang #SciML #Dyad #Simulation #FutureOfEngineering

Why Dyad? A Perspective for Modelica Users

Explore why Dyad was built for modern modeling needs—combining Modelica’s legacy with today’s scalable, open, and efficient engineering workflows.

JuliaHub @juliahub.bsky.social · Aug 29

The future of engineering is Software-Defined Machines—adaptive systems powered by AI + digital twins. With #SciML and Dyad, engineers can merge physics + data to build trustworthy digital twins and accelerate innovation.
juliahub.com/blog/white-p...
#JuliaLang #DigitalTwins #AI #FutureOfEngineering

Software-Defined Machines: Rethinking Engineering for an AI-Native Future

Download the white paper to learn how Dyad empowers engineers and researchers to lay the road map for complex engineering, AI, and model-based design.