Author

Saba Heidarian

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#small language model Oct 2026

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. · Chemistry of Materials · 0 citations

#machine learning Preprint Dec 2025

Predictive Inorganic Synthesis based on Machine Learning using Small Data sets: a case study of Hydrodynamic Diameter-controlled Cu 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. While ML shows promise in m...

Brent Motmans, Digvijay Ghogare, T. V. van Wijk et al. · 0 citations