18 citations · 25 across the 6 of their papers we have counts for
6 papers
A Primer on Bayesian Parameter Estimation and Model Selection for Battery Simulators
Yannick Kuhn, Masaki Adachi, Micha Philipp +2
Physics-based battery modelling has emerged to accelerate battery materials discovery and performance assessment. Its success, however, is still hindered by difficulties in alignin…
Workflows and Principles for Collaboration and Communication in Battery Research
Yannick Kuhn, Bhawna Rana, Micha Philipp +7
Interdisciplinary collaboration in battery science is required for rapid evaluation of better compositions and materials. However, diverging domain vocabulary and non-compatible ex…
Physics-based inverse modeling of battery degradation with Bayesian methods
Micha C. J. Philipp, Yannick Kuhn, Arnulf Latz +1
To further improve Lithium-ion batteries (LiBs), a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate…
Slow Voltage Relaxation of Silicon Nanoparticles with a Chemo-Mechanical Core-Shell Model
Lukas Köbbing, Yannick Kuhn, Birger Horstmann
Silicon presents itself as a high-capacity anode material for lithium-ion batteries with a promising future. The high ability for lithiation comes along with massive volume changes…
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature
Masaki Adachi, Yannick Kuhn, Birger Horstmann +3
A wide variety of battery models are available, and it is not always obvious which model `best' describes a dataset. This paper presents a Bayesian model selection approach using B…
Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering Noise
Yannick Kuhn, Hannes Wolf, Arnulf Latz +1
Physico-chemical continuum battery models are typically parameterized by manual fits, relying on the individual expertise of researchers. In this article, we introduce a computer a…