JuliaHub
@juliahub
A single platform for modeling, simulation, and custom applications. JuliaHub's supercomputing infrastructure powers breakthroughs with multi-threading, parallel, and distributed computing.
See how SciML combines physics and neural networks to capture missing physics, with vehicle ride and NVH case studies—and how the Dyad Agent accelerates the workflow. juliahub.com/white-papers... #julialang #ScientificMachineLearning #SciML #PhysicsInformedAI #DigitalTwin #EngineeringAI
At #JuliaCon2026, see how DyadAgent turns natural-language ideas into physical models that can be built, simulated, debugged and validated. pretalx.com/juliacon-202... #JuliaLang #SciML #EngineeringAI #ModelingAndSimulation
One model, two analyses. See how a single acausal Dyad model supports HVAC sizing and 24-hour transient simulation without duplicating equations, parameters, or workflows. juliahub.com/blog/one-mod... #julialang #ModelingAndSimulation #DigitalEngineering #AcausalModeling #HVACEngineering
How do you uncover the physics your simulation is missing? See how Scientific Machine Learning combines vehicle test data with physical models to improve fidelity without creating a black box. juliahub.com/events/disco... #julialang #ScientificMachineLearning #SciML #Automotive #EngineeringAI
Explore how agentic simulation helps engineers test tradeoffs, run parameter sweeps, and move faster from model changes to operating insight. juliahub.com/events/agent... #julialang #ModelingAndSimulation #ProcessEngineering #WastewaterTreatment #AgenticAI #SystemsEngineering
We’re at the Smart Prototypes Summit 2026 at the VI-grade SimCenter in Udine, Italy. If you’re here, come and visit the #JuliaHub booth to meet us and explore how we’re advancing engineering with #Dyad and Scientific AI. conference.vi-grade.com#gallery #julialang #ScientificAI #Engineering
Explore how to model and analyse steady-state and dynamic systems using Dyad, and see how engineers capture behaviour under changing conditions. //juliahub.com/videos/julia-for-engineers-part-2-modeling-steady-state-and-dynamic-systems #JuliaLang #Dyad #JuliaForEngineers #Modeling #Engineering
See how the Dyad Agent helps engineers turn requirements into system models, debug issues, validate physics, and automate verification in model-based engineering. juliahub.com/blog/meet-th... #julialang #Dyad #ModelBasedEngineering #SystemsEngineering #ArtificialIntelligence #Simulation
Explore this recorded Dyad AI Modeling Challenge to see how AI-driven modelling connects electrical systems, thermal behaviour, orbit propagation, communications, and mission analysis. juliahub.com/videos/dyad-... #julialang #Dyad #AIModelling #Simulation #SpaceTech #SystemsEngineering
Join us March 18 at 1:00 PM EDT for Julia for Engineers Part 2. Learn how to model and analyze steady-state and dynamic systems in Dyad, and better understand performance under changing conditions. juliahub.com/events/julia... #JuliaLang #Dyad
Dyad 2.2 is live, with a more unified Systems Engineering Studio: faster startup, clearer AI visibility, stronger solver support, and a more streamlined modeling workflow. juliahub.com/blog/dyad-2.... #JuliaLang #Dyad #SystemsEngineering #Modeling #Simulation
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
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
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
Dyad, powered by Julia and SciML, bridges agile workflows and scientific accuracy—reshaping how engineers model and simulate. juliahub.com/blog/enginee... #JuliaLang #Dyad #SciML #DigitalTwin #EngineeringInnovation
Legacy engineering tools slow teams down. Modern workflows need agile, cloud-native modeling. Discover why the future of simulation starts with a new foundation. juliahub.com/blog/why-har... #JuliaLang #Engineering #DigitalTwin #Simulation #SciML
JuliaHub + Semgrep bring static code analysis to Julia—catch issues early, enforce standards, and stay compliant. Build faster, safer, smarter. juliahub.com/blog/elevati... #JuliaLang #CodeQuality #StaticAnalysis #DevSecOps
Curious how software-defined machines are transforming #engineering? Our new white paper explains how Dyad is enabling faster, smarter workflows. Download now and explore what's next. juliahub.com/hubfs/White-... #JuliaLang #ModelBasedDesign #SimulationTools #TechLeadership #SystemModeling
Attending #JuliaCon 2025 in Pittsburgh? Join our hands-on #Dyad Studio workshop. Learn how Dyad blends declarative and imperative #modeling, explore Dyad Analysis, and extend models with your favorite packages. pretalx.com/juliacon-202... #julialang #ModelBasedDesign #Simulation #ScientificSoftware
Metal.jl 1.6 adds support for Apple’s MPSGraph, enabling better matrix operations and paving the way for advanced #GPU #workflows on M1/M2. Dive into the new capabilities and explore what’s next for Metal.jl. juliagpu.org/post/2025-05... #JuliaLang #GPUComputing #MPSGraph #OpenSource #ML
📢 The Julia User & #Developer #Survey 2025 is live! Help shape the future of Julia by sharing how you use the language. The results will be shared at #JuliaCon and online. It takes just 10–15 minutes and your input makes a difference. form.jotform.com/251535068164... #JuliaLang #OpenSource #coding
CUDA.jl 5.8 adds broadcasting for CuSparseVector, support for CUDA 12.9, and key library updates—making it easier to write efficient, element-wise #GPU operations in Julia without sacrificing clarity or #performance. juliagpu.org/post/2025-05... #JuliaLang #CUDA #GPUcomputing #programming
Making the leap from R to Julia for data manipulation? Learn how Tidier.jl and native Julia tools can help you wrangle and visualize data with ease. A great step toward building high-performance, reproducible #workflows. info.juliahub.com/resources/in... #JuliaLang #DataScience #programming #data
Dive into JuliaHub's blog for expert articles on #GPU #programming, #modeling & #simulation, compiler innovations, and #parallelcomputing and many more. Stay ahead in high-performance computing and scientific advancements: juliahub.com/blog #JuliaLang #HighPerformanceComputing #technology
How does NonlinearSolve.jl compare to other solvers? It was tested on DAE models, classic nonlinear problems, and large-scale systems. The results show strong performance next to NLsolve, Sundials, and MINPACK. hackernoon.com/how-we-evalu... #JuliaLang #NumericalComputing
JuliaCon Local Paris 2025 is on the horizon! Join fellow Julia devs, researchers & enthusiasts in #Paris this October 2–3 for two days of learning, sharing, and connecting. 🇫🇷 juliacon.org/local/paris2... #JuliaLang #JuliaCon #OpenSource #France #conference
Just getting started with #ModelingToolkit.jl? This beginner-friendly tutorial walks you through defining and simulating ODE systems. A great first step into scientific modeling! docs.sciml.ai/ModelingTool... #JuliaLang #Modeling #SciML
Makie v0.22.2 is here! From improved voxel rendering and pattern fixes to new #tutorials and #performance boosts, this update brings serious upgrades to your plotting workflow. makie.org/website/blog... #JuliaLang #Makie #DataVisualization #TechUpdate #Visualisation
CUDA.jl v5.6 & 5.7 bring major improvements! Async CUBLAS calls, a Julia-level caching allocator, and optimized #GPU memory usage—faster & more efficient computing. Upgrade now! juliagpu.org/post/2025-03... #JuliaLang #CUDA #GPUComputing #HPC