most citedParsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs

37 citations · 38 across the 2 of their papers we have counts for

collaborators

2 papers

math.NA2022★ 37 cited

Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs

Gianluca Fabiani, Evangelos Galaris, Lucia Russo +1

We address a physics-informed neural network based on the concept of random projections for the numerical solution of IVPs of nonlinear ODEs in linear-implicit form and index-1 DAE…

math.NA2021★ 1 cited

Numerical Solution of Stiff ODEs with Physics-Informed RPNNs

Evangelos Galaris, Gianluca Fabiani, Francesco Calabrò +2

We propose a numerical method based on physics-informed Random Projection Neural Networks for the solution of Initial Value Problems (IVPs) of Ordinary Differential Equations (ODEs…