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
@mit_csail. #julialang #sciml
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...
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
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...
www.youtube.com/watch?v=q3_W...
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
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
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
Features: Auto parameter generation, model optimization, custom animations. All with production-ready Julia code.
youtu.be/eKLDVCkJC1s
#dyad #julialang #sciml
#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...
#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
#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...
#Dyad = component-based modeling tool (e.g. #Modelica, #Amesim, #Simulink) + AI/ML autocomplete!
www.youtube.com/watch?v=ttQI...
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
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
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
www.youtube.com/watch?v=rMb4...
#julialang #dyad #sciml
#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
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
#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
www.youtube.com/watch?v=hIkb...
#julialang #sciml
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
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
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
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
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...
julia.mit.edu/projects/#po...
Postdoc Projects
julia.mit.edu
October 8, 2025 at 6:50 AM
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...
julia.mit.edu/projects/#po...
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
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
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
stochasticlifestyle.com/claude-code-...
#llm #vibecoding #physics #opensource #oss
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?...
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
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?...
youtu.be/awwJPWIlXXM?...
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
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
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...
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
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...
Side-by-side comparison for:
• Differential equations
• Optimization
• Automatic differentiation
• Symbolic computing
• More!
Highlights ecosystem differences & best practices.
sciml.github.io/Scientific_M...
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_...
• #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
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_...
• #Julialang for scientific computing
• ODEs/PDEs & numerical methods
• Symbolic-numeric modeling
• Biological systems (Catalyst.jl)
• Parameter estimation
• #SciML & UDEs
github.com/SciML/Julia_...
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...
#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
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...
#julialang #sciml
www.youtube.com/watch?v=lSGF...
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/
📆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
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/
📆Tues, 23 Sept: University of Melbourne
📆Thurs, 25 Sept: UNSW
📆Mon, 29 Sept: QUT
👉https://macsys.org/event/
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)
🔹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
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)
🔹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)
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
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
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
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
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
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
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
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 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...
#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
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...
#julialang #ssa #gillespie #sciml #tauleap
sciml.ai/news/2025/09...
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...
#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
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...
#julialang #symbolics #smt
sciml.ai/news/2025/09...
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...
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
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...
www.youtube.com/watch?v=8wja...
Yes I'll be going all over Australia. Happy to connect with anyone while there.
MACSYS will host Dr Chris Rackauckas for visits to three of our node universities this month. 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
🔹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
September 9, 2025 at 4:34 AM
Yes I'll be going all over Australia. Happy to connect with anyone while there.
Reposted by Chris Rackauckas
MACSYS will host Dr Chris Rackauckas for visits to three of our node universities this month. 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
🔹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
September 9, 2025 at 2:16 AM
MACSYS will host Dr Chris Rackauckas for visits to three of our node universities this month. 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
🔹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
Mixed precision and automatic GPU offloading for Newton solves and stiff ODE solvers has now landed thanks to improvements in LinearSolve.jl. Run LinearSolveAutotune.jl so that things like usage of GPUs in #julialang #sciml becomes automatic!
sciml.ai/news/2025/09...
sciml.ai/news/2025/09...
SciML: Open Source Software for Scientific Machine Learning
Open Source Software for Scientific Machine Learning
sciml.ai
September 7, 2025 at 2:39 PM
Mixed precision and automatic GPU offloading for Newton solves and stiff ODE solvers has now landed thanks to improvements in LinearSolve.jl. Run LinearSolveAutotune.jl so that things like usage of GPUs in #julialang #sciml becomes automatic!
sciml.ai/news/2025/09...
sciml.ai/news/2025/09...
New Symbolic-Numeric algorithm which uses rational polynomial interpolation mixed with differential algebra in order to give a highly robust method for parameter estimation and solving inverse problems on ODEs.
#julialang #sciml #symbolicnumeric #ode
www.sciencedirect.com/science/arti...
#julialang #sciml #symbolicnumeric #ode
www.sciencedirect.com/science/arti...
Robust parameter estimation for rational ordinary differential equations
We present a new approach for estimating parameters in rational ODE models from given (measured) time series data. In typical existing approaches, an …
www.sciencedirect.com
September 7, 2025 at 2:35 PM
New Symbolic-Numeric algorithm which uses rational polynomial interpolation mixed with differential algebra in order to give a highly robust method for parameter estimation and solving inverse problems on ODEs.
#julialang #sciml #symbolicnumeric #ode
www.sciencedirect.com/science/arti...
#julialang #sciml #symbolicnumeric #ode
www.sciencedirect.com/science/arti...
New blog post: Implicit ODE Solvers Are Not Universally More Robust than Explicit ODE Solvers, Or Why No ODE Solver is Best
Talks about how "robust" methods can be less robust in practice. Justifies hundreds of methods in #julialang #sciml
www.stochasticlifestyle.com/implicit-ode...
Talks about how "robust" methods can be less robust in practice. Justifies hundreds of methods in #julialang #sciml
www.stochasticlifestyle.com/implicit-ode...
Implicit ODE Solvers Are Not Universally More Robust than Explicit ODE Solvers, Or Why No ODE Solver is Best - Stochastic Lifestyle
A very common adage in ODE solvers is that if you run into trouble with an explicit method, usually some explicit Runge-Kutta method like RK4, then you should try an implicit method. Implicit methods,...
www.stochasticlifestyle.com
September 4, 2025 at 7:34 AM
New blog post: Implicit ODE Solvers Are Not Universally More Robust than Explicit ODE Solvers, Or Why No ODE Solver is Best
Talks about how "robust" methods can be less robust in practice. Justifies hundreds of methods in #julialang #sciml
www.stochasticlifestyle.com/implicit-ode...
Talks about how "robust" methods can be less robust in practice. Justifies hundreds of methods in #julialang #sciml
www.stochasticlifestyle.com/implicit-ode...