3 papers
cs.CE2025
A Black Box Variational Inference Scheme for Inverse Problems with Demanding Physics-Based Models
G. Robalo Rei, C. P. Schmidt, J. Nitzler +2
Bayesian methods are particularly effective for addressing inverse problems due to their ability to manage uncertainties inherent in the inference process. However, employing these…
cond-mat.mtrl-sci2024
Anaysis of the validity of P2D models for solid-state batteries in a large parameter range
Stephan Sinzig, Christoph P. Schmidt, Wolfgang A. Wall
Simulation models are nowadays indispensable to efficiently assess or optimize novel battery cell concepts during the development process. Electro-chemo-mechano models are widely u…
physics.chem-ph2024
A conservative and efficient model for grain boundaries of solid electrolytes in a continuum model for solid-state batteries
Stephan Sinzig, Christoph P. Schmidt, Wolfgang A. Wall
A formulation is presented to efficiently model ionic conduction inside, i.e. across and along, grain boundaries. Efficiency and accuracy is achieved by reducing it to a two-dimens…