Spectroscopy-Informed XANES–PXRD Framework for Multi-Property Prediction and Structure Inference

Key Points

• This research aims to address the limitations of current computational screening methods for functional materials by integrating spectroscopy insights.
• Developed a framework using X-ray Absorption Nano-Emission Spectroscopy (XANES) and Powder X-ray Diffraction (PXRD) for material characterization.
• Utilized computational models to predict multi-properties of materials based on the gathered data.
• Analyzed the data to draw correlations between structure and properties.
• The framework successfully predicted material properties that were previously inaccessible.
• Significant improvements in design efficiency were noted when utilizing this combined approach.
• Effectiveness of the method was statistically validated against existing data.