1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2021
Model-data-driven constitutive responses: application to a multiscale computational framework
Jan Niklas Fuhg, Christoph Boehm, Nikolaos Bouklas +3
Computational multiscale methods for analyzing and deriving constitutive responses have been used as a tool in engineering problems because of their ability to combine information…
eess.SY2019
Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type
Jan N. Fuhg, Amelie Fau
Parametric studies for dynamic systems are of high interest to detect instability domains. This prediction can be demanding as it requires a refined exploration of the parametric s…
cs.LG2019★ 1 cited
An innovative adaptive kriging approach for efficient binary classification of mechanical problems
Jan N. Fuhg, Amelie Fau
Kriging is an efficient machine-learning tool, which allows to obtain an approximate response of an investigated phenomenon on the whole parametric space. Adaptive schemes provide…