Chris Rackauckas
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chrisrackauckas.bsky.social
Chris Rackauckas
@chrisrackauckas.bsky.social
Lead dev of SciML org, VP of Modeling and Simulation @JuliaHub, Director of Scientific Research @PumasAI, and Research Staff
@mit_csail. #julialang #sciml
How to properly cook your turkey, using agentic AI and #dyad #julialang! Happy Thanksgiving from JuliaHub, hope we can help you with acausal modeling to change your family's holiday!

youtube.com/shorts/qv6Qv...
How to properly cook your turkey using agentic AI and #Dyad #julialang!
YouTube video by JuliaHub
youtube.com
November 25, 2025 at 10:23 PM
A lot of people think JIT compilers, or the compilation process in general, magically makes programming languages faster. "Just add a compiler", nope that's voodoo. So why are "traditional compiled languages" like C and Fortran faster? #JuliaLang

youtube.com/shorts/Z1_vZ...
Do (JIT) compilers make code faster? Not always, it's all about program information! #julialang
YouTube video by Chris Rackauckas
youtube.com
November 25, 2025 at 3:39 PM
ANSYS /Synopsys, one of the largest simulation companies in the world, is partnering with @JuliaHub_Inc in order to bring #Dyad, #Julialang, and #SciML to next level of adoption. We have many things planned. This is how research becomes reality.

www.prnewswire.com/news-release...
JuliaHub Partners with Synopsys to Power SciML-Based Digital Twins
/PRNewswire/ -- JuliaHub, a leader in AI-native simulation and modeling, today announced a strategic partnership with Synopsys (NASDAQ: SNPS) to integrate...
www.prnewswire.com
November 19, 2025 at 5:16 PM
#SciML fact of the day: automatic differentiation fails to give the correct derivative on a lot of very simple functions 😱 😱 😱 . #julialang #automaticdifferentiation

youtube.com/shorts/KTguZ...
Automatic differentiation is incorrect on very simple functions??? 😱 😱 😱
YouTube video by Chris Rackauckas
youtube.com
November 17, 2025 at 2:33 PM
Can Agentic AI turn single purpose code into reusable modular code? Dyad's specialized AI can!

Watch our latest video on AI-assisted model restructuring and physics enhancement:
www.youtube.com/watch?v=0RdA...

#ModelingAndSimulation #AIAgent #JuliaLang #SciML #Dyad #SystemsEngineering #Modelica
Dyad Agentic Workflows: Generating Hierarchical Models and Increasing Physical Fidelity
YouTube video by JuliaHub
www.youtube.com
November 13, 2025 at 3:44 AM
Check out the latest #Julialang Dispatch Podcast! This episode goes over the changes to the Julia language, its standard libraries, and the main changes in the package ecosystem (#sciml, JuMP, etc.) that occurred over the summer. Most posts coming soon as well!

www.youtube.com/watch?v=q3_W...
This Month in Julia World - August 2025 | JuliaCon Recap & Community Updates
YouTube video by Julia Dispatch
www.youtube.com
November 7, 2025 at 10:53 AM
Watch Dyad's AI agent build a complete thermal model from just an image! Picture -> validated DAEs in minutes.

Features: Auto parameter generation, model optimization, custom animations. All with production-ready Julia code.

youtu.be/eKLDVCkJC1s

#dyad #julialang #sciml
Generating a Coffee Cup Thermal Model from a Schematic
YouTube video by JuliaHub
youtu.be
November 6, 2025 at 12:09 PM
#Dyad #SciML tutorial! Use Dyad's graphical/textual #acausal system to build models from validated model components and transform into your #digitaltwin!

#Dyad = component-based modeling tool (e.g. #Modelica, #Amesim, #Simulink) + AI/ML autocomplete!

www.youtube.com/watch?v=ttQI...
www.youtube.com
October 28, 2025 at 1:11 PM
What is #acausal modeling and how does it lead to better reproducibility and modularity in modeling and simulation? Check out this video which goes step-by-step into building acausal models using the RC circuit and RLC circuit

www.youtube.com/watch?v=rMb4...

#julialang #dyad #sciml
Acausal vs Causal Modeling Explained with Dyad
YouTube video by JuliaHub
www.youtube.com
October 20, 2025 at 1:23 PM
#LLMs make mistakes. Modeling languages like #Dyad have static analysis to compile-time check whether models are physically possible. What happens when you mix the two in an #agentic workflow? Automated construction of accurate models!

www.youtube.com/watch?v=hIkb...

#julialang #sciml
Agentic modeling of a friction brake with Dyad, LLMs for Model-Based Systems Engineering
YouTube video by JuliaHub
www.youtube.com
October 16, 2025 at 6:00 AM
SciML Developer Chat Episode 1: Base Splits and Symbolics Precompilation

Welcome to the first episode of the SciML Dev Chat! We discuss the latest developments in the #SciML (Scientific Machine Learning) ecosystem for #julialang!

youtu.be/0yQ4aZ-ABhY
SciML Developer Chat Episode 1: Trimming Support and Symbolics Precompilation
YouTube video by The Julia Programming Language
youtu.be
October 9, 2025 at 7:48 PM
MIT Julia Lab: looking for postdoctoral researchers in #julialang open source software development, scientific machine learning (#SciML), and systems biological / pharmacological modeling (#QSP) for research in equation discovery for large stiff systems.

julia.mit.edu/projects/#po...
Postdoc Projects
julia.mit.edu
October 8, 2025 at 6:50 AM
Claude code sucks... but it's still very useful! Check out this blog post that details how Claude is deployed to solve problems in the #Julialang #SciML open source scientific computing infrastructure.

stochasticlifestyle.com/claude-code-...

#llm #vibecoding #physics #opensource #oss
Claude Code in Scientific Computing: Experiences Maintaining Julia's SciML Infrastructure - Stochastic Lifestyle
Claude Code in Scientific Computing: Experiences Maintaining Julia’s SciML Infrastructure So it’s pretty public that for about a month now I’ve had 32 processes setup on one of the 64 core 128gb RAM s...
www.stochasticlifestyle.com
October 6, 2025 at 6:40 AM
AI-Assisted Modeling in Dyad with Cursor AI! We've just released a comprehensive demonstration showing how LLMs can dramatically accelerate dynamic system modeling workflows in Dyad.

youtu.be/awwJPWIlXXM?...
Demonstration of AI-Assisted Modeling in Dyad with Cursor AI
YouTube video by JuliaHub
youtu.be
October 3, 2025 at 7:19 AM
Reposted by Chris Rackauckas
It's been a thrill to host Dr Chris Rackauckas for a 2-day visit to our node at QUT. Chris presented a seminar, ran a workshop on High-Performance Scientific Modelling with Julia & SciML, & met with our researchers. Chris is VP of Modelling and Simulation at JuliaHub. @chrisrackauckas.bsky.social
September 30, 2025 at 7:27 AM
Scientific Modeling Cheatsheet: #MATLAB vs #Python vs #Julialang

Side-by-side comparison for:
• Differential equations
• Optimization
• Automatic differentiation
• Symbolic computing
• More!

Highlights ecosystem differences & best practices.

sciml.github.io/Scientific_M...
Scientific Modeling Cheatsheet – MATLAB – Python – Julia Quick Reference
sciml.github.io
September 22, 2025 at 6:43 PM
New workshop materials on High-Performance Scientific Modeling with Julia & SciML:

#Julialang for scientific computing
• ODEs/PDEs & numerical methods
• Symbolic-numeric modeling
• Biological systems (Catalyst.jl)
• Parameter estimation
#SciML & UDEs

github.com/SciML/Julia_...
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
September 22, 2025 at 6:36 PM
DifferentialEquations.jl is many things, and lots of people only use a small portion of it. Check out the JuliaCon 2025 workshop: introduces many aspects of the packages that the developers feel are underutilized and under-understood!

#julialang #sciml

www.youtube.com/watch?v=lSGF...
A Deep Dive Into DifferentialEquations.jl | JuliaCon Global 2025 | Rackauckas, Smith
YouTube video by The Julia Programming Language
www.youtube.com
September 19, 2025 at 8:06 AM
Reposted by Chris Rackauckas
Dr Chris Rackauckas will present a seminar at all three university stops: "Automating Construction of Biochemical and Physical Models with Scientific Machine Learning (SciML)"
📆Tues, 23 Sept: University of Melbourne
📆Thurs, 25 Sept: UNSW
📆Mon, 29 Sept: QUT
👉https://macsys.org/event/
September 19, 2025 at 1:12 AM
Reposted by Chris Rackauckas
MACSYS is excited to host Dr Chris Rackauckas for visits to three of our node universities. He is:
🔹VP of Modelling & Simulation - #JuliaHub
🔹Director of Scientific Research - #PumasAI
🔹Co-PI - Julia Lab at #MIT
🔹Lead developer - #SciML Open Source Software Org
@chrisrackauckas.bsky.social ( 🧵1/2)
September 19, 2025 at 1:12 AM
Check out the JuliaCon workshop SciML in Fluid Dynamics (CFD): Surrogates of Weather Models.
Go into depth on all of the major surrogate architectures and give them a try on the weather model challenge problem!

www.youtube.com/watch?v=PfRx...

#julialang #juliacon #sciml
SciML in Fluid Dynamics (CFD): Surrogates of Weather Models | JuliaCon 2025 | Rackauckas, Abdelrehim
YouTube video by The Julia Programming Language
www.youtube.com
September 18, 2025 at 11:34 AM
Sundials.jl v5.0: Update to SUNDIALS v7 and Improved DAE Initialization

A major update that brings significant improvements to differential-algebraic equation (DAE) solving and upgrades to the latest Sundials C library

sciml.ai/news/2025/09...

#julialang #sciml #sundials #dae
SciML: Open Source Software for Scientific Machine Learning
Open Source Software for Scientific Machine Learning
sciml.ai
September 17, 2025 at 3:29 PM
SciML Fellowship development 2025 - JumpProcesses.jl: Introducing vr_aggregator for VariableRateJumps, GPU-enhanced SimpleTauLeaping and Extending with τ-Leap Algorithms for Jump Process Simulation

#julialang #ssa #gillespie #sciml #tauleap

sciml.ai/news/2025/09...
SciML: Open Source Software for Scientific Machine Learning
Open Source Software for Scientific Machine Learning
sciml.ai
September 15, 2025 at 12:38 PM
Introducing SymbolicSMT.jl for symbolic constraint solving and theorem proving! Built on Z3, test the feasibility of symbolic expressions built using Symbolics.jl. Given Constraints([x > 0, y > 0, x^2 + y^2 <= 1]), ask issatisfiable? isprovable?

#julialang #symbolics #smt

sciml.ai/news/2025/09...
SciML: Open Source Software for Scientific Machine Learning
Open Source Software for Scientific Machine Learning
sciml.ai
September 15, 2025 at 11:04 AM
New episode of the #julialang Dispatch podcast, featuring Jesper and Philip from Cognibotics, a Swedish robotics company that developed a statically-typed dialect of Julia designed specifically for real-time robot programming!

www.youtube.com/watch?v=8wja...
Juliet & Romeo with Jesper Öqvist and Philip Olhager
YouTube video by Julia Dispatch
www.youtube.com
September 13, 2025 at 11:14 AM