Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Molecular spectroscopy

Accurately predicting molecular spectra with deep learning

The accurate prediction of molecular spectra is essential for substance discovery and structure identification, but conventional quantum chemistry methods are computationally expensive. Now, DetaNet achieves the accuracy of quantum chemistry while improving the efficiency of prediction of organic molecular spectra.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Conceptual integration of DetaNet within a self-driving lab workflow.

References

  1. Abolhasani, M. & Kumacheva, E. Nat. Synth. 2, 483–492 (2023).

    Article  Google Scholar 

  2. Delgado-Licona, F. & Abolhasani, M. Adv. Intell. Syst. 5, 2200331 (2023).

    Article  Google Scholar 

  3. Seifrid, M. et al. Acc. Chem. Res. 55, 2454–2466 (2022).

    Article  Google Scholar 

  4. Balan, V. et al. Materials 12, 2884 (2019).

    Article  Google Scholar 

  5. Dreimann, J. M. et al. ACS Catal. 9, 4308–4319 (2019).

    Article  Google Scholar 

  6. Zou, Z. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00550-y (2023).

    Article  Google Scholar 

  7. Han, R., Ketkaew, R. & Luber, S. J. Phys. Chem. A 126, 801–812 (2022).

    Article  Google Scholar 

  8. McGill, C., Forsuelo, M., Guan, Y. & Green, W. H. J. Chem. Inf. Model. 61, 2594–2609 (2021).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Conrard Giresse Tetsassi Feugmo.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tetsassi Feugmo, C.G. Accurately predicting molecular spectra with deep learning. Nat Comput Sci 3, 918–919 (2023). https://doi.org/10.1038/s43588-023-00553-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43588-023-00553-9

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing