lyn1874/raman_spectra_matching_with_contrastive_learning
Official implementation for paper "Raman spectra matching with contrastive representation learning"
This project helps scientists and researchers accurately identify unknown substances by comparing their Raman spectra against a database of known spectra. You input raw or pre-processed Raman spectroscopy data, and it outputs the identity of the sample, outperforming or matching existing methods. Researchers in fields like materials science, chemistry, and biology would find this useful for analyzing samples.
No commits in the last 6 months.
Use this if you need a highly accurate method to identify unknown chemical compounds or materials based on their unique Raman spectral fingerprints.
Not ideal if you are looking for a general-purpose spectroscopy analysis tool beyond Raman spectrum matching.
Stars
19
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 22, 2022
Commits (30d)
0
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