Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Fritzen Felix"'
Autor:
Lißner Julian, Fritzen Felix
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-37 (2024)
Abstract Two approaches are presented to improve the capabilities of machine learning models in multiscale modeling for microstructure homogenization (graphical abstract in Fig. 1). The first approach features a Bayesian data mining scheme with a hum
Externí odkaz:
https://doaj.org/article/0d3faef4a3ee4e79be0c362dd5ca2e20
Autor:
Ou, Yongliang, Ikeda, Yuji, Scholz, Lena, Divinski, Sergiy, Fritzen, Felix, Grabowski, Blazej
Li$_6$PS$_5$Cl is a promising candidate for the solid electrolyte in all-solid-state Li-ion batteries. In applications, this material is in a polycrystalline state with grain boundaries (GBs) that can affect ionic conductivity. While atomistic modeli
Externí odkaz:
http://arxiv.org/abs/2407.04126
Autor:
Lißner, Julian, Fritzen, Felix
Beyond the generally deployed features for microstructure property prediction this study aims to improve the machine learned prediction by developing novel feature descriptors. Therefore, Bayesian infused data mining is conducted to acquire samples c
Externí odkaz:
http://arxiv.org/abs/2302.12545
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 January 2025 433 Part A
Computational homogenization is the gold standard for concurrent multi-scale simulations (e.g., FE2) in scale-bridging applications. Experimental and synthetic material microstructures are often represented by 3D image data. The computational complex
Externí odkaz:
http://arxiv.org/abs/2204.13624
Autor:
Fernández, Mauricio, Fritzen, Felix
Strategies for the generation of periodic discrete structures with identical two-point correlation are developed. Starting from a pair of root structures, which are not related by translation, phase inversion or axis reflections, child structures of
Externí odkaz:
http://arxiv.org/abs/2002.01234
Autor:
Kunc, Oliver, Fritzen, Felix
Publikováno v:
Math. Comput. Appl. 2019, 24, 56
The computational homogenization of hyperelastic solids in the geometrically nonlinear context has yet to be treated with sufficient efficiency in order to allow for real-world applications in true multiscale settings. This problem is addressed by a
Externí odkaz:
http://arxiv.org/abs/1904.01521
Autor:
Lißner, Julian, Fritzen, Felix
An image based prediction of the effective heat conductivity for highly heterogeneous microstructured materials is presented. The synthetic materials under consideration show different inclusion morphology, orientation, volume fraction and topology.
Externí odkaz:
http://arxiv.org/abs/1903.10841
A multi-fidelity surrogate model for highly nonlinear multiscale problems is proposed. It is based on the introduction of two different surrogate models and an adaptive on-the-fly switching. The two concurrent surrogates are built incrementally start
Externí odkaz:
http://arxiv.org/abs/1902.07443
Autor:
Langebeck, Anika a, Bohlen, Annika a, Seefeld, Thomas a, Zhang, Xingxing b, Kornmeier, Joana Rebelo b, Hofmann, Michael b, Alameddin, Shadi c, Alessio, Renan Pereira c, Fritzen, Felix c
Publikováno v:
In Procedia CIRP 2022 111:726-731