Lukas Stelz

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 3

Top Topics

Physical Processes

Hopfield Neural Network

Dynamical Systems

Top Venues

J. Frankl. Inst.

Publications

Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. J. Frankl. Inst. 361 (6) (2024)
Adrian Rojas Campos, Lukas Stelz, Pascal Nieters
Learning COVID-19 Regional Transmission Using Universal Differential Equations in a SIR model. CoRR (2023)
Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. CoRR (2023)