Machine learning (ML) has emerged as a powerful tool for studying the properties of condensed matter. To date, most research has focused on the bulk properties of solids, however, defects are ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...

A new study suggests that crystal defects in diamond may hold the key to scalable quantum interconnects. Connecting large numbers of quantum bits (qubits) into a working technology remains one of the ...

Using hard X-ray photoemission spectroscopy, researchers revealed how oxygen vacancies and structural disorder influence subgap state formation. The figure shows the InGaZnO 4 crystal structure, the ...