Confident identification: More fragments are acquired with EAD, allowing users to confidently identify the site of metabolism ...

Researchers propose a machine learning model that identifies a new Al–Si–Ru i-QC phase. With the potential for extended applications for identification of other structures like decagonal and ...

This technical note describes the identification of pioglitazone phase 1 metabolites from a hepatocyte incubation using comprehensive spectral data from an orthogonal fragmentation technique. More ...

MapSweeper software revolutionizes EBSD analysis by overcoming traditional indexing limitations, enhancing accuracy and speed in materials characterization.