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Elements from the group of rare earth metals are of great importance today, also in technical applications. The Bioinorganic Chemistry group at Heinrich Heine University Düsseldorf (HHU) is conducting diverse research into these elements. The group has now published two studies in the scientific jou…
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arXiv:2512.16071v1 Announce Type: new
Abstract: Widespread Pb (lead) contamination of urban soil significantly impacts food safety and public health and hinders city greening efforts. However, most existing technologies for measuring Pb are labor-intensive and costly. In this study, we propose Soil…
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arXiv:2512.05606v2 Announce Type: replace
Abstract: In this work, we analyze the internal and boundary stabilization of the Cahn-Hilliard and Kuramoto-Sivashinsky equations under saturated feedback control. We conduct our study through the spectral analysis of the associated linear operator. We ide…
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arXiv:2512.16718v1 Announce Type: new
Abstract: In a previous paper it was shown that a machine learning regression problem can be solved within the framework of random function theory, with the optimal kernel analytically derived from symmetry and indifference principles and coinciding with a poly…
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arXiv:2512.16656v1 Announce Type: new
Abstract: The rapid assimilation of Artificial Intelligence technologies into various facets of society has created a significant educational imperative that current frameworks are failing to effectively address. We are witnessing the rise of a dangerous litera…
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John F. Wu 2025 ApJ 980 183 A novel neural network architecture produces interpretable features that can be combined to estimate galaxy properties such as metallicity from pixel-level features.
The post Insights into Galaxy Evolution from Interpretable Sparse Feature Networks appeared first on AAS N…