Skip to content

Commit

Permalink
Merge pull request #114 from koerper/patch-5
Browse files Browse the repository at this point in the history
Update project-07-surface-science-syndicate.md
  • Loading branch information
sgbaird authored Apr 8, 2024
2 parents 0e67d66 + ae43654 commit 0be7b28
Showing 1 changed file with 5 additions and 3 deletions.
8 changes: 5 additions & 3 deletions _projects/project-07-surface-science-syndicate.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,12 +11,14 @@ contributors:
- Michail Mitsakis (Technical University of Denmark (DTU)) @lordmikerahl

github: AC-BO-Hackathon/project-surface-science-syndicate
<!-- youtube_video: <your-video-id> -->
youtube_video: kIRxGdwmLSY
---

This project will focus on exploring the capabilities of Bayesian optimization, specifically employing BayBE, in the discovery of novel corrosion inhibitors for materials design. Initially, we will work with a randomly chosen subset from a comprehensive database of electrochemical responses of small organic molecules. Our goal is to assess how Bayesian optimization can speed up the screening process across the design space to identify promising compounds. We will compare different strategies for incorporating alloy information, while optimizing the experimental parameters with respect to the inhibitive performance of the screened compounds.
This project focuses on exploring the capabilities of Bayesian optimization, specifically employing BayBE, in the discovery of novel corrosion inhibitors for materials design. Initially, we work with a randomly chosen subset from a comprehensive database of electrochemical responses of small organic molecules for aluminum alloys. Our goal is to assess how Bayesian optimization can speed up the screening process across the design space to identify promising compounds. We compare different strategies for incorporating chemical information, while optimizing the experimental parameters with respect to the inhibitive performance of the screened compounds. Finally, we explore the potential of transfer learning to accelerate corrosion inhibitor discovery for other base materials as well.

If you want to connect and/or want to learn more about our contributions and learnings, feel free to reach out and check our postings on LinkedIn by [Michail Mitsakis](https://www.linkedin.com/posts/michail-mitsakis_project-7-baybe-one-more-time-exploring-activity-7180894234835644416-kkF9?utm_source=share&utm_medium=member_desktop), [Alexander Wieczorek](https://www.linkedin.com/posts/alexander-wieczorek_github-ac-bo-hackathonproject-surface-science-syndicate-activity-7180880116799979520-1JEZ?utm_source=share&utm_medium=member_desktop), [Can Özkan](https://www.linkedin.com/posts/canozkan42_github-ac-bo-hackathonproject-surface-science-syndicate-activity-7181189184894779393-5O15?utm_source=share&utm_medium=member_desktop) and [Tim Würger](https://www.linkedin.com/posts/tim-wuerger_project-7-baybe-one-more-time-exploring-activity-7183034959069143040-Nk7O?utm_source=share&utm_medium=member_desktop)!

References:
1. Galvão, T.L.P., Ferreira, I., Kuznetsova, A. _et al._ [CORDATA: an open data management web application to select corrosion inhibitors](https://doi.org/10.1038/s41529-022-00259-9). _npj Mater Degrad_ **6**, 48 (2022).
2. Özkan, C., Sahlmann, L., Feiler, C. _et al._ [Laying the experimental foundation for corrosion inhibitor discovery through machine learning](https://doi.org/10.1038/s41529-024-00435-z). _npj Mater Degrad_ **8**, 21 (2024).
3. Würger, T., Mei, D., Vaghefinazari, B. _et al._ [Exploring structure-property relationships in magnesium dissolution modulators](https://doi.org/10.1038/s41529-020-00148-z)https://doi.org/10.1038/s41529-020-00148-z. _npj Mater Degrad_ **5**, 2 (2021).
3. Würger, T., Mei, D., Vaghefinazari, B. _et al._ [Exploring structure-property relationships in magnesium dissolution modulators](https://doi.org/10.1038/s41529-020-00148-z). _npj Mater Degrad_ **5**, 2 (2021).

0 comments on commit 0be7b28

Please sign in to comment.