JAIST Researchers Use Deep Learning to Unlock X-ray Diffraction SecretsDeep learning can help in characterizing materials by analyzing peak changes in x-ray diffractions
Product NewsBruker and DECTRIS Announce the Integration of the New EIGER2 R 250K Detector into the D8™ X-ray Diffraction Systemsby Bruker CorporationThe new EIGER2 R 250K with over 250,000 pixels incorporates the latest technological enhancements applied to the entire EIGER2 R family
Product NewsVanta™ iX In-Line XRF Analyzer Automates Material Analysis and Alloy IDby Olympus CorporationThe instrument provides 100 percent inspection on the manufacturing line
NewsResearchers Deconstruct Ancient Parchment Using Multiple Techniquesby FrontiersAnalyses of the materials in the scrolls help put the object into an historical context and guides conservators in future restoration efforts
NewsForensic Identification of Single Dyed Hair Strand Now Possibleby Tokyo University of ScienceScientists develop modern analytical techniques as a tool for advancing forensic investigations
NewsNew Technique Enables Mineral ID of Precious Antarctic Micrometeoritesby Research Organization of Information and SystemsAnalyzing the composition of this type of cosmic dust can potentially reveal many secrets about the evolution of our solar system