Micro-computed tomography (micro-CT) is considered an essential tool for characterizing the internal structure of samples in a non-destructive manner. Although micro-CT technology is great for ...

This paper explores the differences and similarities between Raman and infrared spectroscopy in regard to unknown material identification and reaction monitoring. While these techniques share ...

The complexity of RMID spans the spectrum from the testing process to analytical methods and instruments, then to the governmental standards and norms which regulate all aspects of RMID, including ...

Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and classification of two-dimensional (2D) materials through Raman spectroscopy. In ...

Optical microscopy technologies as prominent imaging methods can offer rapid, non-destructive, non-invasive detection, quantification, and characterization of tiny particles. However, optical systems ...

When performing material identification from hyperspectral images, a common challenge is the mixing of spectral signals at boundaries between materials. This study investigates spectral unmixing as a ...

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 ...

Recycling-focused technology firm says its Scrap Science app offers affordable metals identification and workforce training tools. Beyond materials identification, employers can use the Scrap Science ...

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 ...