DFT meets Bayesian inference: creating a framework for the assignment of calculated vibrational frequencies

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2064_Readme.txt

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2064_Bayesian inference experimental data.zip

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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/7132 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/7132 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/7132 archive 32961 disk0/00/00/20/64 2025-10-10 10:58:08 2026-01-21 17:54:31 2025-10-10 10:58:08 data_collection show Nicolaou Michael 68582 Senn Hans Gibson Emma Gonzalez-Jimenez Mario Vila-Nadal Laia glaresearchdata:2025-10-08-2064 DFT meets Bayesian inference: creating a framework for the assignment of calculated vibrational frequencies 30000000 Experimental IR and Raman measurements of studied samples. Computational comparison and analysis is performed on this data in the research. 2025-10-08 University of Glasgow 10.5525/gla.researchdata.2064 Mixed Text University of Glasgow FALSE English 2025-09-01 2025-10-03 email FALSE FALSE DFT meets Bayesian inference: creating a framework for the assignment of calculated vibrational frequencies https://eprints.gla.ac.uk/id/eprint/371167