Silicon-based electronics are approaching their physical limitations and new materials are needed to keep up with current technological demands. Two-dimensional (2D) materials have a rich array of ...

Phosphine ligands modify the structure of metal nanoclusters in a top-down evolutionary process by "peeling" and "etching.” This phosphine-LEIST reaction allows the construction of metal nanoclusters ...

This schematic illustrates the MALIO software, a machine learning structure analysis tool designed to analyze and distinguish the local structures of BP I and BP II liquid crystal phases. By ...

The two-part lecture focused on the economics of structural change and applications to East Asia and the Pacific. The lectures also discussed challenges to economic growth, including premature ...

Researchers explore the transformation dynamics of cubic liquid crystals using direct simulation and machine learning, offering new possibilities for advanced materials development. Researchers have ...