How does AI help me?
Phase Identification This AI-powered module can improve your productivity when you often analyze similar samples but have difficulty identifying minor phases such as impurities, foreign materials, etc.
A trained network can perform phase identification more accurately than conventional search/match algorithms without any operator involvement or judgment.
X-ray Reflectivity (XRR) Analysis This AI-powered module can suggest how to adjust your simulation model to improve the quality and accuracy of X-ray reflectivity (XRR) analysis.
A trained network can suggest what might be causing the discrepancy between the experimental and simulated profiles, such as a missing surface layer. Correcting the simulation model based on the suggestion can improve the XRR fitting accuracy.
XRD Component Decomposition This AI-powered module can separate an X-ray diffraction (XRD) pattern of an unknown mixture into multiple components and quantify each phase.
This decomposition does not require any knowledge or phase identification analysis of the sample and can be useful when comparing tens and hundreds of XRD patterns consisting of similar phases.
Explore the new AI functionality available. Read more > |