Max Rosenkranz 个人学术档案 - 学术资源搜索

引用次数

	总计	2019 年至今
引用	31	31
h 指数	2	2
i10 指数	1	1

0

26

13

202320246 25

合著作者

Karl A. KalinaInstitute of Solid Mechanics, TU Dresden在 tu-dresden.de 的电子邮件经过验证
Markus KästnerInstitute of Solid Mechanics, TU Dresden在 tu-dresden.de 的电子邮件经过验证
WaiChing SunAssociate Professor of Civil Engineering and Engineering Mechanics, Columbia University在 columbia.edu 的电子邮件经过验证

Max Rosenkranz

Max Rosenkranz

在 tu-dresden.de 的电子邮件经过验证

Computational Solid Mechanics Constitutive Modeling Artificial Neural Networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A comparative study on different neural network architectures to model inelasticity M Rosenkranz, KA Kalina, J Brummund, M Kästner International Journal for Numerical Methods in Engineering 124 (21), 4802-4840, 2023	24	2023
Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables M Rosenkranz, KA Kalina, J Brummund, WC Sun, M Kästner Computational Mechanics, 1-23, 2024	7	2024
4.20 Physics-augmented neural networks for constitutive modeling of elasticity and viscoelasticity KA Kalina, M Rosenkranz, J Brummund, W Sun, M Kästner 11th GAMM AG Data Workshop TU Dresden February 06/07, 2024, 28, 2024		2024

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