2 papers
math.NA2026
Goal oriented error estimation for adaptive sampling of PINNS
Medard Govoeyi, Thomas Richter
Physics-Informed Neural Networks (PINNs) are mesh-free approaches for the numerical approximation of partial differential equations, where a neural network is trained by minimizing…
math.NA2024
Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation
Dayron Chang Dominguez, An Phuc Dam, Thomas Richter +2
Hydrogen is vital for sectors like chemicals and others, driven by the need to reduce carbon emissions. Proton Electrolyte Membrane Water Electrolysis (PEMWE) is a key technology f…