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Non-invasive extraction of converter parameters under specific operational conditions, often referred to as digital twinning, enables detailed insights into power electronics devices under real conditions. In this work, power electronics parameter estimation is addressed by proposing the construction of affine operators applied to physics-informed Gaussian processes. [...]

Solid-state batteries with lithium metal anodes are among the promising candidates to fulfill the actual requirements of growing energy demands in comparison to commercially available lithium-ion batteries, despite the current challenges of inhomogeneous lithium metal deposition upon cycling. In the present literature, the limiting current density is referred to as a key performance indicator for faster charging of solid-state batteries, though from a practical point of view, it is defined as the maximum endurable current density that might be applied without possible cell failure. [...]

Understanding how molecular events in ion channelsimpact neuronal excitability, as derived from the calculation of thetime course of the membrane potentials, can help elucidate themechanisms of neurological disease-linked mutations and supportneuroactive drug design. Here, we propose a multiscale simulationapproach which couples molecular simulations with neuronalsimulations to predict the variations in membrane potential andneural spikes [...]