Gökhan Tahil - PhD student
Personal Data
- poste 15 80 44
- tahil@cril.fr
https://orcid.org/0000-0003-3815-9693 0000-0003-3815-9693
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- fac
UFR des Sciences Jean Perrin
Rue Jean Souvraz SP 18
62307 Lens Cedex
France
Degree prepared or obtained while being at CRIL
Research Axes
- Data
- Constraints
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Recent Project
- ANR VIVAH 2020-2025
Data
Publications
International journals
2023 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Éric Monflier, Adlane Sayede, Sébastien Tilloy, Curated dataset of association constants between a cyclodextrin and a guest for machine learning in Chemical Data Collections,vol. 45, pp. 101022, 2023.
International conferences
2023 Adlane Sayede, Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Sebastien Tilloy, Determination of the Association Constant between a Cyclodextrin and a Guest using Machine Learning models in 9th Symposium on Theoretical Biophysics (TheoBio2023),2023.
2023 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastein Tilloy, Use of Machine Learning for Determination of Association Constant between a Cyclodextrin and a Guest in 7th European Conference on Cyclodextrin (EuroCD 2023),2023.
2021 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastien Tilloy, Determination of the Association Constant between a Cyclodextrin and a Guest using Machine Learning for Catalyzed Functionalization of Bio-Sourced Substrates in First international symposium on High-Throughput Catalysts Design,2021.
National conferences
2022 Gökhan Tahil, Fabien Delorme, Daniel Le Berre, Eric Monflier, Adlane Sayede, Sébastien Tilloy, Machine learning challenges for determination of association constant between a cyclodextrin and a guest in 20èmes Journées Cyclodextrines,2022.