Search Results for author: Lukas Stelz

Found 2 papers, 1 papers with code

Learning COVID-19 Regional Transmission Using Universal Differential Equations in a SIR model

1 code implementation25 Oct 2023 Adrian Rojas-Campos, Lukas Stelz, Pascal Nieters

We compared the proposed model using a simulated COVID-19 outbreak against a single-region SIR and a fully data-driven model composed only of a DNN.

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks

no code implementations17 Feb 2023 Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou

A physics-informed neural network (PINN) embedded with the susceptible-infected-removed (SIR) model is devised to understand the temporal evolution dynamics of infectious diseases.

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