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Aufsatz
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
(2024-02-28)
Graph Neural Networks (GNNs) are a large class of relational models for graph processing. Recent theoretical studies on the expressive power of GNNs have focused on two issues. On the one hand, it has been proven that GNNs are as powerful as the Weisfeiler–Lehman test (1-WL) in their ability to distinguish graphs. Moreover, it has been shown that the equivalence enforced by 1-WL equals unfolding equivalence. On the other hand, GNNs turned out to be universal approximators on graphs modulo the constraints enforced by ...
Aufsatz
Quantitative analysis of the effect of foam morphology on the quasi-static and cyclic-dynamic tensile properties
(2024-02-28)
This study is the initial investigation into the relationship between the structure of foam and its quasi-static tensile and tension-tension fatigue properties. It is also the first examination of crack initiation and propagation in relation to various foam morphology patterns. The overall foam morphology and geometric appearance of the cell structure can be altered by varying the parameters of foam injection molding. Quantitative features of foam morphology are measured in terms of cell diameter, cell distance, cell ...
Aufsatz
UVC Irradiation as a Surface Treatment of Polycarbonate to Generate Adhesion to Liquid Silicone Rubber in an Overmolding Process
(2024-04-18)
This study investigates the adhesion properties of polycarbonate (PC) and liquid silicone rubbers (LSR) through surface activation using ultraviolet C (UVC) radiation. While self-adhesive LSRs adhere easily to certain thermoplastic composites such as polybutylene terephthalate (PBT) and polyamides (PAs), bonding to PC typically requires surface treatment due to the lack of compatible functional groups. Previous methods like plasma or flame treatment have been effective, but the use of UVC radiation for surface ...