Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials. Researchers have developed a deep learning-based approach that significantly ...

A 40-year-old forgotten paper helped UChicago scientists develop a faster, more efficient method for synthesizing MXenes at a ...

Researchers from the Institute of Physics in Zagreb have shown that depositing a thin layer of organic molecules on ...

(Nanowerk News) At just a few atoms of thickness, 2D materials offer revolutionary possibilities for new technologies that are microscopically sized but have the same capabilities as existing machines ...

Tohoku University researchers have created a deep learning-based method that significantly simplifies the precise identification and categorization of two-dimensional (2D) materials using Raman ...

A team of Scientists almost a decade ago predicted that boron atoms would cling too tightly to copper to form borophene, a flexible, metallic two-dimensional material with potential across electronics ...

2H-NbO₂—a novel van der Waals oxide synthesized by researchers from Japan—exhibits strongly correlated electronic properties with two-dimensional flexibility. By chemically extracting lithium ions ...

2D materials such as graphene, transition metal dichalcogenides, boron nitride, and layered double hydroxides possess several advantageous properties that make them well-suited for environmental ...

The findings are published in Applied Materials Today ("Deep learning assisted Raman spectroscopy for rapid identification of 2D materials"). "Sometimes, we only have a few samples of the 2D material ...