Media Summary: Chis Rackauckas' talk on "The Use and Practice of Such models could provide a robust and principled foundation for This video discusses the first stage of the

Doing Scientific Machine Learning Sciml - Detailed Analysis & Overview

Chis Rackauckas' talk on "The Use and Practice of Such models could provide a robust and principled foundation for This video discusses the first stage of the 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 video provides a brief recap of this introductory series on Physics Informed

Presented by Kyle Lennon at the 2023 DOE CSGF Annual Program Review. View more information on the DOE CSGF Program at ... This talk was part of SciMLCon 2022! For more information, check out For more information on the ...

Photo Gallery

Doing Scientific Machine Learning (SciML) With Julia | Workshop | JuliaCon 2020
The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021
[08x12] Intro to SciML
TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning
SciMLCon 2022: Scientific Machine Learning Open Source Software
DDPS | Scientific Machine Learning: From Physics-Informed to Data-Driven
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
What is scientific 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)
AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]
DOE CSGF 2023: Scientific Machine Learning for Modeling and Simulating Complex Fluids
View Detailed Profile
Doing Scientific Machine Learning (SciML) With Julia | Workshop | JuliaCon 2020

Doing Scientific Machine Learning (SciML) With Julia | Workshop | JuliaCon 2020

Scientific machine learning

The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021

The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021

Chis Rackauckas' talk on "The Use and Practice of

[08x12] Intro to SciML

[08x12] Intro to SciML

SciML

TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning

TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning

Such models could provide a robust and principled foundation for

SciMLCon 2022: Scientific Machine Learning Open Source Software

SciMLCon 2022: Scientific Machine Learning Open Source Software

The inaugural SciMLCon of the

DDPS | Scientific Machine Learning: From Physics-Informed to Data-Driven

DDPS | Scientific Machine Learning: From Physics-Informed to Data-Driven

Abstract:

AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

This video discusses the first stage of the

What is scientific machine learning?

What is scientific machine learning?

What is

Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25

Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25

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

JuliaSim FMU Accelerator App: Digital Twin Generation using Scientific Machine Learning (SciML)

JuliaSim FMU Accelerator App: Digital Twin Generation using Scientific Machine Learning (SciML)

Julia Computing delivers JuliaSim as an answer to accelerating simulations through digital-twin (or surrogate) modeling.

AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]

AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]

This video provides a brief recap of this introductory series on Physics Informed

DOE CSGF 2023: Scientific Machine Learning for Modeling and Simulating Complex Fluids

DOE CSGF 2023: Scientific Machine Learning for Modeling and Simulating Complex Fluids

Presented by Kyle Lennon at the 2023 DOE CSGF Annual Program Review. View more information on the DOE CSGF Program at ...

State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022

State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022

This talk was part of SciMLCon 2022! For more information, check out https://scimlcon.org/2022/. For more information on the ...