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Predictive Inorganic Synthesis Based on Machine Learning Using Small Data Sets: A Case Study of Hydrodynamic Diameter-Controlled Copper Nanoparticles

Copper nanoparticles (Cu NPs) have a broad applicability, yet their synthesis is sensitive to subtle changes in reaction parameters. This sensitivity, combined with the time- and resource-intensive nature of experimental optimization, poses a major challenge in achieving reproducible and size-controlled synthesis. Wh...

Brent Motmans, Digvijay Ghogare, T. V. van Wijk et al. · 0 citations
Open access Oct 2026

Controlling Ionic Conductivity, Electrochemical Stability, and Interfacial Contact With Ionogel Electrolytes in Solid‐State Sodium‐Metal Batteries

Sodium‐ion batteries are promising as a cost‐effective and sustainable alternative to lithium‐ion batteries because they rely less on critical raw materials. However, most sodium‐ion batteries use flammable liquid electrolytes. Replacing these with nonflammable solid‐like electrolytes can improve safety, reduce leaka...

Jonas Mercken, Anke Kelchtermans, D. De Sloovere et al. · 0 citations

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