Maximizing metallene stability in nanomaterials for advanced electronics, high-efficiency energy storage, sensors, and catalysis

https://www.eurekalert.org/news-releases/1108851

"extreme thinness/ tendency to collapse due to metallic bonding makes synthesis difficult, overcome combining quantum-mechanical modeling/ machine learning... interface stability with smooth well-aligned geometries at metallene edges, most robust interfaces overall use transition metals, machine-learning accurately predicts atomic-level interface behavior... accelerates synthesis of more robust, larger-scale metallene structures... high-performance devices in: high-tech electronics, energy conversion, biomedicine"