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 ...
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 ...
A new hybrid layered perovskite featuring elusive spontaneous defect ordering has been found, report scientists. By introducing specific concentrations of thiocyanate ions into FAPbI3 (FA = ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
The study of curvature effects on crystal structures and defect dynamics offers pivotal insights into how geometric constraints influence material properties at the micro‐ and nanoscale. Curved ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
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.
Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...
Insights into atomic-scale defects may enable next-generation thin-film transistors for smartphones, televisions, and flexible electronics. (Nanowerk News) Many displays found in smartphones and ...
(Nanowerk News) Perovskites are among the most extensively studied materials in modern materials science. Their often unique and exotic properties, which stem from perovskite’s peculiar crystal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results