In this issue, Shilie Pan et al. review the crystal chemistry and birefringence of Sn^II– and Sb^III-based materials. Johannes Margraf discusses science-driven atomistic machine learning. The Minireviews deal with small data in chemical discovery (Hadas Shalit Peleg, Anat Milo) and the optimization of membranes for osmotic power generation (Li-Hsien Yeh et al.). In a Viewpoint Article, Ryan A. Shenvi recounts challenges of care for young children set against the backdrop of societal shifts in caretaker roles and job responsibilities.

In the original research section, Guihua Yu et al. describe high-density cationic defects coupling with a local alkaline-enriched environment for water oxidation (see picture). Lana McClements et al. developed quantitative point-of-care tests for timely diagnosis of early-onset preeclampsia. Bernhard Hauer et al. succeeded in the methylation of unactivated alkenes with engineered methyltransferases to generate non-natural terpenoids. Osman M. Bakr et al. present atomically precise defective copper nanocluster catalysts for highly selective C–C cross-coupling reactions.

• Angewandte Chemie 26/2023: Science and Learning,
  Angew. Chem. Int. Ed. 2023, 62 (26).

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