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SciML: Open Source Software for Scientific Machine Learning SciML is a NumFOCUS sponsored open source software ...

SciML stands for Scientific Machine Learning. SciML is a collection of state-of-the-art tools for Scientists written in the Julia ...

Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, ...

"Optimal Control in Julia: SciML's newest tooling" by Chris Rackauckas, presented at JuliaCon Local Paris 2025. Optimal control ...

Chris Rackauckas talks about his plan to extend the Julia SciML Ecosystem to a Backbone for PDEs Join the channel to support ...

Recorded 16 April 2026. Benjamin Sanderse of Centrum Wiskunde & Informatica presents "Structure-preserving SciML for ...

Machine learning is the process of learning functions. In this talk we introduce what neural networks are at a high level and use ...

Chris Rackauckas Applied Mathematics Instructor, MIT Senior Research Analyst, University of Maryland, Baltimore School of ...

Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ...

State of Julia's SciML Ecosystem by Chris Rackauckas PreTalx: https://pretalx.com/juliacon2024/talk/QKU8BE/ SciML is huge.

Code link: https://drive.google.com/file/d/1DJhIgulv6878N68_8ECwuX--rGxpfn5d/view?usp=sharing _____ Most people think ...

SciML is huge. If I say "I am using a SciML package", that could mean DifferentialEquations.jl, but it could also mean ...

Efficient boundary value problems solving in SciML by Chris Rackauckas, Qingyu Qu PreTalx: ...

This is a talk in Scientific Machine Learning Webinar Series (https://www.cmu.edu/aced/sciML.html) at CMU on March 30, 2023.