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.
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
Can an #AI agent turn dense #engineering specifications into a validated #simulation model? See the Dyad Agent build and verify a NASA HL-20 model against published reference data juliahub.com/events/auton... #julialang #EngineeringAI #AgenticAI #AerospaceEngineering #PhysicalAI #SystemsEngineering
Autonomous HL‑20 Model Creation: From Specification to Simulation - Event | JuliaHub
See how the Dyad Agent turns NASA HL-20 specs into a validated simulation model, using compiler-verified AI for autonomous aerospace modeling.
juliahub.com
See how a purpose-built engineering agent supports model creation, post-processing, analyses, and testing while reducing complexity across the simulation workflow. juliahub.com/videos/intro... #julialang #EngineeringAI #AgenticAI #ModelingAndSimulation #SciML #DigitalEngineering #Dyad
Introduction to Agent Assisted Engineering Workflows - Video | JuliaHub
Explore how the Dyad agent supports modelling, simulation, analysis, and testing workflows through live demos and engineering best practices.
juliahub.com
Write once. Run across #CPUs and #GPUs from different vendors. See how JACC.jl enables portable parallel Julia code from one codebase in a live ORNL #webinar. juliahub.com/videos/build... #julialang #HPC #GPUComputing
Build Portable CPU/GPU Code in Julia with Minimal Effort - Video | JuliaHub
Build portable CPU/GPU code in Julia with JACC.jl. Learn vendor-neutral parallel computing from a single codebase for modern HPC workflows.
juliahub.com
Finding the right operating setpoint is rarely simple. See how agentic simulation uses natural language and parameter sweeps to reveal trade-offs in a real process model. juliahub.com/videos/agent... #Julialang #AgenticAI #ModelingAndSimulation #EngineeringAI
Agentic Simulation of the Activated Sludge Process: From Model to Operating Insight - Video | JuliaHub
See how the Dyad Agent uses natural language to simulate activated sludge models, optimise aeration, and balance energy use with effluent quality.
juliahub.com
JuliaHub is heading to JuliaCon Global 2026 in Mainz, August 10–15, with workshops and talks on SciML, engineering AI, modeling, compilers, security, and developer tools. juliahub.com/blog/juliahu... #JuliaCon2026 #JuliaLang #JuliaHub #ScientificMachineLearning #EngineeringAI #ModelingAndSimulation
JuliaHub at JuliaCon Global 2026 - Blog | JuliaHub
Learn more about the impressive lineup of speakers and experts from JuliaHub at JuliaCon 2026.
juliahub.com
Explore how AI-assisted engineering can turn complex specifications into validated simulation models with physical checks and reference-data validation. juliahub.com/events/auton... #julialang #ModelingAndSimulation #AerospaceEngineering #AgenticAI #SystemsEngineering #EngineeringAI
Autonomous HL‑20 Model Creation: From Specification to Simulation - Event | JuliaHub
See how the Dyad Agent turns NASA HL-20 specs into a validated simulation model, using compiler-verified AI for autonomous aerospace modeling.
juliahub.com
GPT-5.6 or Claude Fable 5: which performs best for Physical AI? Explore a benchmark focused on engineering and physics-based modeling tasks. juliahub.com/blog/frontie... #julialang #PhysicalAI #AgenticAI #ModelingAndSimulation #EngineeringAI #ScientificComputing
GPT-5.6 vs Claude Fable 5 for Physical AI, which performs best? - Blog | JuliaHub
We tested the latest frontier models in the Dyad agent on five modeling and simulation problems, comparing accuracy, cost, time, and work style.
juliahub.com
Explore how tradespace exploration helps engineers use model changes, parameter sweeps, and simulation to make better operating decisions. juliahub.com/blog/tradesp... #julialang #TradespaceExploration #ModelingAndSimulation #ProcessEngineering #AgenticAI #SystemsEngineering
Tradespace Exploration with the Dyad Agent - Blog - JuliaHub
See how the Dyad Agent uses natural language to extend an activated sludge model, run parameter sweeps, and explore the tradeoff between effluent COD and aeration energy.
juliahub.com
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
The latest #JuliaHub newsletter is here—featuring Dyad 3.2, JuliaCon 2026, CAE + SciML insights, and updates from across the Julia ecosystem. juliahub.com/blog/july-20... #JuliaHub #JuliaLang #Dyad #ScientificComputing #ModelingAndSimulation
July 2026 Newsletter: Dyad 3.2 With More LLMs and Better Visualization - Blog - JuliaHub
Find out more about Dyad 3.2, our upcoming conferences and discovering missing physics with the Dyad agent and SciML.
juliahub.com
More LLM choice and clearer diagrams: Dyad 3.2 makes larger models easier to build, read, and maintain with a smoother modeling experience. juliahub.com/blog/dyad-3.... #julialang #Dyad #AgenticAI #ModelingAndSimulation #SystemsEngineering #EngineeringSoftware
Dyad 3.2: More LLMs, Clearer Diagrams - Blog - JuliaHub
Advance your simulation and modeling with Dyad 3.2. Design multi-model AI agents (GPT-5 & Claude) using enhanced visual canvas tools.
juliahub.com
Explore this recorded webinar to see how cuTile.jl brings NVIDIA’s CUDA Tile model to Julia for AI, linear algebra, and HPC workloads. juliahub.com/videos/cutil... #JuliaLang #GPUProgramming #CUDA #HPC #ScientificComputing
cuTile.jl for High-Performance Computing in Julia - Video - JuliaHub
Explore cuTile.jl in Julia to write high-performance GPU kernels for AI, linear algebra, and HPC using NVIDIA’s CUDA Tile model
juliahub.com
Explore Dyad’s upcoming Planar Mechanics library through pendulums, planar vehicles, and self-balancing robots with advanced control strategies. juliahub.com/videos/insid... #MechanicalEngineering #ControlSystems #ModelingAndSimulation #Robotics #SystemsEngineering
Inside Dyad’s Planar Mechanics: From Pendulums to Self-Balancing Robotics - Video - JuliaHub
Discover how Dyad powers software-defined machines with faster simulations, living digital twins, and AI-driven engineering workflows.
juliahub.com
Explore this recorded #webinar to see how symbolic manipulation helps engineers solve DAEs from acausal models and speed up #simulation. juliahub.com/events/intro... #julialang #AcausalModeling #SymbolicComputation #ModelingAndSimulation #SystemsEngineering #ScientificComputing
Introduction to Symbolic Manipulation with Dyad - Event - JuliaHub
Learn how Dyad uses symbolic manipulation to solve DAEs, speed up simulations, and build hierarchical system models with greater accuracy.
juliahub.com
Explore why acausal modelling gives engineers a single source of truth and a more flexible way to build, reuse, and adapt physical system models. juliahub.com/blog/rethink... #julialang #AcausalModeling #ModelingAndSimulation #SystemsEngineering #DigitalEngineering #Dyad
Rethinking Physical Modeling: Moving Beyond Blocks and Math - Blog - JuliaHub
This blog examines how the traditional way we model physical systems is inadequate, how acausal modeling changes the game, and why the Dyad platform represents the future of engineering design.
juliahub.com
From Aadhaar to JuliaHub, Dr. Viral B. Shah reflects on Julia, digital infrastructure, #modeling and #simulation, and the future of industrial R&D. technologymagazine.com/news/from-aa... #julialang #ModelingAndSimulation #JuliaLang #ScientificComputing #IndustrialAI #EngineeringInnovation
From Aadhaar to JuliaHub: Viral Shah’s Computing Revolution
The co-creator of the Julia programming language discusses physics-aware AI, global enterprise scaling and the launch of the industrial platform Dyad
technologymagazine.com
Pluto 1.0 is here, bringing major advances in reproducibility, sharing, accessibility, educational tools, and developer experience for scientific computing. discourse.julialang.org/t/pluto-1-0-... #JuliaLang #Plutojl #ScientificComputing #OpenSource #DeveloperTools
Pluto 1.0 release!
After six years, it’s time to release Pluto version 1.0! With this release, I want to celebrate all the progress over the past years, and to symbolise that Pluto is ready. I am proud of what we have a...
discourse.julialang.org
Explore how Dyad helps engineers build hierarchical acausal models, tackle DAEs, and use symbolic manipulation for faster, more efficient simulation. juliahub.com/events/intro... #julialang #Dyad #AcausalModeling #SystemsEngineering #Simulation #SymbolicComputation
Introduction to Symbolic Manipulation with Dyad - Event - JuliaHub
Learn how Dyad uses symbolic manipulation to solve DAEs, speed up simulations, and build hierarchical system models with greater accuracy.
juliahub.com
What must governments get right before AI touches critical public systems? Dr. Viral B. Shah outlines the building blocks of AI-ready public infrastructure. aidatainsider.com/ai/ai-ready-... #julialang #ArtificialIntelligence #PublicInfrastructure #GovTech #DigitalPublicInfrastructure #AIReadiness
AI-Ready Public Infrastructure: Lessons From India’s Aadhaar Builder
Viral Shah, architect of Aadhaar and co-creator of Julia, on what AI-ready public infrastructure really requires, and the risks no government should take with probabilistic AI.
aidatainsider.com
Explore this recorded webinar to see how Scientific Machine Learning helps engineers combine test data with physics-based models to improve fidelity. juliahub.com/videos/disco... #julialang #dyad #ScientificMachineLearning #VehicleDynamics #Simulation #Engineering #SciML
Discovering Missing Physics Through Scientific Machine Learning - Vehicle Ride Use Case - Video - JuliaHub
Learn how Scientific Machine Learning helps engineers uncover missing vehicle physics using test data while keeping simulation models robust and reliable.
juliahub.com
Dyad 3.1 sharpens the agent with newer Claude Opus models, more context, configurable reasoning, default trimmed FMUs, and smoother modelling workflows. juliahub.com/blog/dyad-3-... #julialang #Dyad #AgenticAI #ModelingAndSimulation #SystemsEngineering #ScientificAI
Dyad 3.1: From Smart to Sharper - Blog - JuliaHub
Dyad 3.1 elevates your modeling workflow with Claude Opus 4.8, 1M context limits, and configurable reasoning effort. Plus: automatic JuliaC-trimmed FMUs and local library imports.
juliahub.com
Join Oak Ridge scientists William F. Godoy and Philip W. Fackler to see how JACC.jl enables portable CPU/GPU computing in Julia from a single codebase. juliahub.com/events/build... #JuliaLang #HPC #GPUComputing #ParallelComputing #ScientificComputing
Build Portable CPU/GPU Code in Julia with Minimal Effort - Event - JuliaHub
Build portable CPU and GPU code in Julia with JACC.jl. Join ORNL scientists to learn vendor-neutral parallel computing from a single codebase.
juliahub.com
The June 2026 #JuliaHub newsletter is here—featuring Dyad 3.0, JuliaHub 26.3, Pluto 1.0, #webinars, and updates from across the Julia ecosystem. juliahub.com/blog/june-20... #JuliaHub #JuliaLang #Dyad #ScientificAI #HPC
June 2026 Newsletter: JuliaHub Announces Dyad 3.0 General Availability - Blog - JuliaHub
In this newsletter: Dyad 3.0 GA release, Pluto 1.0 release, JuliaHub 26.3 release and much more from the world of Julia
juliahub.com
Explore how Dyad helps engineers build hierarchical acausal models, tackle DAEs, and use symbolic manipulation for faster, more efficient simulation. juliahub.com/events/intro... #julialang #Dyad #AcausalModeling #SystemsEngineering #Simulation #SymbolicComputation
Introduction to Symbolic Manipulation with Dyad - Event - JuliaHub
Learn how Dyad uses symbolic manipulation to solve DAEs, speed up simulations, and build hierarchical system models with greater accuracy.
juliahub.com
See how Nathan VanRheenen of AE Ventures and Boeing explains using Dyad and Julia to unify modelling, simulation, code generation, and verification. juliahub.com/videos/custo... #julialang #Dyad #AerospaceEngineering #AgenticAI #Simulation #SystemsEngineering
Customer Testimonial: Nathan VanRheenen, Director and Chief Engineer, AE Ventures and Boeing - Video - JuliaHub
See how Boeing and AE Ventures use Dyad and Julia to unify modelling, simulation, code generation, and verification in aerospace engineering.
juliahub.com
Learn how Scientific Machine Learning helps engineers combine test data with physics-based models to improve fidelity and uncover missing behaviour. juliahub.com/events/disco... #julialang #Dyad #ScientificMachineLearning #VehicleDynamics #Simulation #Engineering
Discovering Missing Physics Through Scientific Machine Learning - Vehicle Ride Use Case - Event - JuliaHub
Explore how Dyad and Scientific Machine Learning help engineers uncover missing vehicle physics and improve ride model accuracy with test data.
juliahub.com
See how Dyad HVAC unifies thermo-fluid design, fast simulation, and agentic workflows for HVAC and refrigeration engineering. juliahub.com/videos/next-... #julialang #Dyad #HVAC #ThermoFluids #AgenticAI #Engineering
Next-Gen Thermo-Fluid Design: Introducing Dyad HVAC for Agentic Engineering - Video - JuliaHub
See how Dyad HVAC unifies thermo-fluid design with faster simulation, agentic workflows, and real-time model creation for HVAC and refrigeration systems.
juliahub.com
Join Oak Ridge scientists William F. Godoy and Philip W. Fackler to see how JACC.jl enables portable CPU/GPU computing in Julia from a single codebase. juliahub.com/events/build... #JuliaLang #HPC #GPUComputing #ParallelComputing #ScientificComputing
Build Portable CPU/GPU Code in Julia with Minimal Effort - Event - JuliaHub
Build portable CPU and GPU code in Julia with JACC.jl. Join ORNL scientists to learn vendor-neutral parallel computing from a single codebase.
juliahub.com
See how Christopher Laughman of MERL uses Dyad and Julia to improve HVAC modelling, thermodynamic performance, and control for more efficient systems. juliahub.com/videos/custo... #julialang #Dyad #HVAC #JuliaLang #ScientificAI #EnergyEfficiency
Customer Testimonial : Christopher Laughman Sr. Principal Research Scientist for MERL - Video - JuliaHub
See how MERL uses Dyad and Julia to model HVAC systems, improve efficiency, and tackle data-sparse operating conditions with physics-based methods.
juliahub.com