Two-dimensional (2D) materials show great promise for photocatalysis, a key technology for sustainable energy solutions like water splitting. However, optimizing their performance requires precise ...

Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown ...

Researchers have shown that hard-to-spot defects in a widely used two-dimensional insulator can trap electrical charges and locally weaken the material, making it more likely to fail at lower voltages ...

Advancements in nanotechnology fabrication and characterization tools have facilitated a number of developments in the creation of new two-dimensional (2D) materials and gaining and understanding of ...

Researchers in the United States have developed a new technique that can spot hidden ...

A deep learning model identifies atomic-scale defects in MoS2 with 95% accuracy, offering a faster route to quality control and quantum material research. Defects in 2D materials play a decisive role ...

A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...

A new publication from Opto-Electronic Sciences; DOI 10.29026/oes.2024.240011 , discusses control of light–matter interactions in two-dimensional materials with nanoparticle-on-mirror structures.

The Helfrich theory of membrane bending, supported by molecular dynamics simulations, is a promising approach for evaluating mechanical properties of graphene nanosheets, report researchers from the ...

A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting ...