Topic Recap: 2025 USACM Novel Methods Fall Seminar Title: Interpretable data-driven

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Picture References

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization
Machine Learning for Fluid Dynamics: Models and Control
Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!
Data-driven blood flow modeling with sparse representation (APS Division of Fluid Dynamics 2020)
Enhancing Computational Fluid Dynamics with Machine Learning
Interpretable data-driven model discovery: dynamical systems, ROMs, and operators
Machine Learning for Computational Fluid Dynamics
Steve Brunton: "Machine Learning for Fluid Mechanics"
Machine Learning for Fluid Mechanics
Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models
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Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization

Read more details and related context about Sparse Nonlinear Models for Fluid Dynamics with Machine Learning and Optimization.

Machine Learning for Fluid Dynamics: Models and Control

Machine Learning for Fluid Dynamics: Models and Control

Read more details and related context about Machine Learning for Fluid Dynamics: Models and Control.

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

Read more details and related context about Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!.

Data-driven blood flow modeling with sparse representation (APS Division of Fluid Dynamics 2020)

Data-driven blood flow modeling with sparse representation (APS Division of Fluid Dynamics 2020)

Read more details and related context about Data-driven blood flow modeling with sparse representation (APS Division of Fluid Dynamics 2020).

Enhancing Computational Fluid Dynamics with Machine Learning

Enhancing Computational Fluid Dynamics with Machine Learning

Research abstract by Ricardo Vinuesa ( Vinuesa) from KTH!! Twitter: In this video we discuss the ...

Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

Interpretable data-driven model discovery: dynamical systems, ROMs, and operators

2025 USACM Novel Methods Fall Seminar Title: Interpretable data-driven

Machine Learning for Computational Fluid Dynamics

Machine Learning for Computational Fluid Dynamics

Read more details and related context about Machine Learning for Computational Fluid Dynamics.

Steve Brunton: "Machine Learning for Fluid Mechanics"

Steve Brunton: "Machine Learning for Fluid Mechanics"

Read more details and related context about Steve Brunton: "Machine Learning for Fluid Mechanics".

Machine Learning for Fluid Mechanics

Machine Learning for Fluid Mechanics

Read more details and related context about Machine Learning for Fluid Mechanics.

Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models

Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models

Read more details and related context about Sparse Nonlinear Dynamics Models with SINDy, Part 2: Training Data & Disambiguating Models.