Nathan J. Szymanski

Accurate SEM-EDS quantification, automation, and machine learning enable high-throughput compositional characterization of powders

<title>Abstract</title> Compositional characterization is essential for understanding and optimizing material performance. For powder-based materials underpinning many modern technologies, however, accurately and rapidly resolving the composition of individual constituent phases...