Chris Rackauckas
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chrisrackauckas.bsky.social
Chris Rackauckas
@chrisrackauckas.bsky.social
1K followers 110 following 140 posts
Lead dev of SciML org, VP of Modeling and Simulation @JuliaHub, Director of Scientific Research @PumasAI, and Research Staff
@mit_csail. #julialang #sciml
Posts Replies Media Videos
chrisrackauckas.bsky.social
New fastest explicit non-stiff ODE solver? That's right, we now have something beating the pants off of the high order explicit RK methods! Check out the new symbolic-numeric optimized Taylor methods available in DifferentialEquations.jl!

#julialang #diffeq #sciml
February 5, 2026 at 11:09 AM
Reposted by Chris Rackauckas
juliacon.org
@juliacon.org 2026 will have a minisymposium on "Methods and Applications of Scientific Machine Learning (SciML)" hosted by @chrisrackauckas.bsky.social find out more on pretalx.com/juliacon-202... and submit your proposal through juliacon.org/2026/cfp/

#julialang #sciml
Scientific machine learning (SciML) methods are techniques which incorporate machine learning with mechanistic modeling. The purpose of this minisymposium is to share improved methods and applications of SciML to showcase the ever advancing ecosystem in Julia. Examples of topics fit for this minisymposium include: New algorithms and software for physics-informed neural networks Tips, tricks, and techniques for improving convergence of universal differential equations Applications of fitting universal differential equations on real data and verification Methods which use neural networks with classical solvers in new ways Advancements in automatic differentiation for SciML applications Methods which use learning to accelerate numerical simulations (surrogates, metamodels, emulators, reduced order methods (ROMs)) Advancements in compiler and optimization techniques to improve learning in SciML scenarios.
January 28, 2026 at 9:49 AM
chrisrackauckas.bsky.social
Your college professor teaches you "A-stable methods are required for stiff ODEs". But PSA, the most commonly used stiff ODE solvers (adaptive order BDF methods) are not A-stable. #sciml #numericalanalysis #diffeq

www.youtube.com/shorts/hmKVQ...
The most commonly used stiff ODE solver isn't A-stable?!?!?
YouTube video by Chris Rackauckas
www.youtube.com
January 14, 2026 at 11:01 PM
chrisrackauckas.bsky.social
Physics-Informed Neural Surrogates for Mesh-Invariant Modeling of High-Speed Flows at #AIAA #SciTech!

We built a neural surrogate that predicts aerodynamic behavior 595x faster than CFD while maintaining ~1% relative error.

#sciml #Julialang #CFD #Hypersonics #AIAASciTech
January 13, 2026 at 12:36 AM
chrisrackauckas.bsky.social
The #Julialang Dispatch podcast wrapped said we were in the top 20% of videos on on Spotify this year! Also it was a heavily marathoned show, meaning "Fans listened to you for longer than 91% of shows" Looks like everyone is staying to the end 😘.
December 9, 2025 at 5:26 PM
chrisrackauckas.bsky.social
Scientific machine learning (#SciML) is not just about adding scientific information to machine learning, but it's also about making machine learning accessible to heterogeneous data.

youtube.com/shorts/jop2S...
Scientific machine learning and heterogeneous data
YouTube video by Chris Rackauckas
youtube.com
December 8, 2025 at 10:20 AM
chrisrackauckas.bsky.social
New livestream, #Dyad Modeling Live! In this stream we built up a thermal model of a room using #AgenticAI and added a heat pump with different control strategies and analyzed the power efficiency. Join the fun live next week! #julialang #sciml

youtube.com/live/I542x6g...
Dyad Modeling Live: Creating a Thermal Model of a Room using Agentic AI
YouTube video by JuliaHub
youtube.com
November 28, 2025 at 5:10 PM
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
#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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
#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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
#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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
macsys.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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
chrisrackauckas.bsky.social
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