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Št. zadetkov: 2
Parametrized physics-informed deep operator networks for design of experiments applied to lithium-ion-battery cells
Philipp Brendel, Igor Mele, Andreas Rosskopf, Tomaž Katrašnik, Vincent Lorentz
Izvirni znanstveni članek
Oznake: Li-ion batteries;modelling;design of experiment DoE;machine learning;physics informed neural networks;
Model-based state estimation of lithium-ion batteries relies on a robust, yet efficient parametrization of the underlying model under different conditions, which can be analyzed and improved through the lenses of Design-of-Experiments (DoE) methodologies. This paper presents parametrized physics-inf ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Difference-differential operators for basic adaptive discretizations and their central function systems
Lucia Birk, Sophia Roßkopf, Andreas Ruffing
Izvirni znanstveni članek
Oznake: discretization;difference operator;Lie algebra;difference equations;
The concept of inherited orthogonality is motivated and an optimality statement for it is derived. Basic adaptive discretizations are introduced. Various properties of difference operators which are directly related to basic adaptive discretizations are looked at. A Lie-algebraic concept for obtaini ...
Leto: 2012 Vir: Univerza v Mariboru (UM)
Št. zadetkov: 2
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