[HTML][HTML] ModelFLOWs-app: data-driven post-processing and reduced order modelling tools
A Hetherington, A Corrochano… - Computer Physics …, 2024 - Elsevier
This article presents an innovative open-source software named ModelFLOWs-app, 1
written in Python, which has been created and tested to generate precise and robust hybrid …
written in Python, which has been created and tested to generate precise and robust hybrid …
[HTML][HTML] pyLOM: A HPC open source reduced order model suite for fluid dynamics applications
This paper describes the numerical implementation in a high-performance computing
environment of an open-source library for model order reduction in fluid dynamics. This …
environment of an open-source library for model order reduction in fluid dynamics. This …
Koopman operators in robot learning
L Shi, M Haseli, G Mamakoukas, D Bruder… - ar** machine learning and AI tools for scientific discovery, engineering design, and data‐driven control
The mission of the AI Institute in Dynamic Systems is to develop the next generation of
advanced machine learning (ML) and AI tools for controlling complex physical systems by …
advanced machine learning (ML) and AI tools for controlling complex physical systems by …
On the lifting and reconstruction of nonlinear systems with multiple invariant sets
The Koopman operator provides a linear perspective on non-linear dynamics by focusing on
the evolution of observables in an invariant subspace. Observables of interest are typically …
the evolution of observables in an invariant subspace. Observables of interest are typically …