Physics-informed machine learning - Groups

Detonation Flowﬁeld

The dataset used in this analysis comes from high-fidelity hydrogen-air detonation simulations in a 2-dimensional channel conﬁguration.

Dataset
JSON

Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning

Physics-informed machine learning (PIML) as a means of solving partial differential equations (PDE) has garnered much attention in the Computational Science and Engineering...

Dataset
JSON

Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network

The dataset used in the paper is a set of physical field observations with noisy data.

Dataset
JSON

3 datasets found

Detonation Flowﬁeld

Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning

Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network