High-throughput computation of Raman spectra from first principles

Area of Science:

• Materials Science
• Computational Chemistry
• Spectroscopy

Background:

• Raman spectroscopy is crucial for material characterization, analyzing vibrational modes for atomic structure and chemical composition.
• Existing experimental and computational Raman spectra databases are limited, hindering comprehensive material analysis.
• Simulating Raman spectra computationally is valuable but traditionally requires significant computational resources.

Purpose of the Study:

• To develop an optimized and efficient workflow for calculating Raman spectra.
• To leverage existing material databases and phonon properties for enhanced computational efficiency.
• To create a comprehensive database of computational Raman spectra for a wide range of materials.

Main Methods:

• Developed an optimized computational workflow for calculating Raman spectra.
• Integrated phonon properties from existing material databases to improve efficiency.
• Benchmarked and validated the workflow against experimental data and previous computational methods.
• Performed high-throughput calculations for 5099 materials across diverse classes.

Main Results:

• Successfully created a large database containing 5099 calculated Raman spectra.
• The developed workflow significantly improves the efficiency of computational Raman spectra generation.
• Calculated spectra show strong agreement with experimental Raman spectra.
• The database covers a wide array of material classes, offering broad applicability.

Conclusions:

• The optimized workflow enables efficient and accurate computation of Raman spectra.
• The new database serves as a valuable resource for material identification and characterization.
• This approach overcomes the limitations of previous computational methods, facilitating larger-scale material studies.