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Lukas Morand
Engineering
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Article
Open AccessNeural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics
Analyzing and modeling the constitutive behavior of materials is a core area in materials sciences and a prerequisite for conducting numerical simulations in which the material behavior plays a central role. C...
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Article
Open AccessOptimizing machine learning yield functions using query-by-committee for support vector classification with a dynamic stop** criterion
In the field of materials engineering, the accurate prediction of material behavior under various loading conditions is crucial. Machine Learning (ML) methods have emerged as promising tools for generating con...
