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Advanced Scientific Machine Learning

Modern Machine Learning Software
Uncertainty Propagation through Scientific Models
High-dimensional Uncertainty Propagation
- Functional Inputs to Scientific Models
- Operator Learning
Inverse Problems in Deterministic Scientific Models
Inverse Problems in Stochastic Scientific Models
- Stochastic Differential Equations
- Filtering and Smoothing
Physics-informed Neural Networks (PINNs)
Information Field Theory (IFT)

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PINNS for Parametric Studies

Contents

Takeaways

PINNS for Parametric Studies#

Takeaways#

PINNs can be used to construct surrogates of scientific models in the form of ODEs or PDEs.

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Solving Parametric Problems using Physics-informed Neural Networks

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By Ilias Bilionis

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