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Author

Timo Bielitz

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Conference Open access 2026

Identification of Ordinary Differential Equation Surrogates from Numerical Integration with Adaptive Time-Step Schemes

The formulation of an ordinary differential equation (ODE) to describe a dynamic system is generally the first and most crucial step before numerical investigations may be performed. However, this process step will fail if the underlying physics is not fully understood or cannot be described. In such cases, running rea...

Timo Bielitz, Dieter Bestle · 0 citations
Open access Aug 2026

Learning Differential Equations From Numerically Integrated Artificial Neural Networks

An approach is presented which proposes the embedding of a neural network based architecture as a substitute for the state function of an ODE into established Runge–Kutta based integration method.

Timo Bielitz, Dieter Bestle · 0 citations

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