Research

The advance opens a path to next-generation devices with unique optical and electronic properties.

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

The molecules, known as acenes, could be useful as organic light-emitting diodes or solar cells, among other possible applications.

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.