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Such models could provide a robust and principled foundation for Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ... Julia Computing delivers JuliaSim as an answer to accelerating simulations through digital-twin (or surrogate) modeling. This talk was part of SciMLCon 2022! For more information, For more information on the ...
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SciMLCon 2022: Scientific Machine Learning Open Source Software
DDPS | Scientific Machine Learning: From Physics-Informed to Data-Driven
What is scientific machine learning?
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25
JuliaSim FMU Accelerator App: Digital Twin Generation using Scientific Machine Learning (SciML)
State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022
How to Combine Physics and Machine Learning: A Complete SciML Project Walkthrough
What is machine learning and how can it be connected to prior scientific knowledge (SciML)?
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Last Updated: June 7, 2026
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