Dr. Kevin M. Jablonka

Institut für Organische Chemie und Makromolekulare
Friedrich Schiller University Jena
Humboldtstraße 10
07743 Jena

Phone: +49 3641 9 48 564
Fax: +49 3641 9 48 202
kevin.jablonka@uni-jena.de
HomepageExterner Link

Funktionen

Nachwuchgruppenleiter

Digital Chemistry: We leverage data-driven techniques to develop materials that work real world. We develop novel modeling, and sequential decision-making approaches with novel inductive biases and increased explainability and robustness to enable this.
Polymerinformatics: We design novel representations and modeling approaches for dealing with the challenges posed by polymers
Research data managment: We develop tools that allow us to capture the tacit knowledge of chemistry.

Jablonka, K. M.; Rosen, A. S.; Krishnapriyan, A. S.; Smit, B. An Ecosystem for Digital Reticular Chemistry. ACS Cent. Sci. 2023. https://doi.org/10.1021/acscentsci.2c01177Externer Link.
Jablonka, K. M.; Schwaller, P.; Ortega-Guerrero, A.; Smit, B. Is GPT-3 All You Need for Low-Data Discovery in Chemistry? 2023. https://doi.org/10.26434/chemrxiv-2023-fw8n4Externer Link
Jablonka, K. M.; Patiny, L.; Smit, B. Making the Collective Knowledge of Chemistry Open and Machine Actionable. Nat. Chem. 2022, 14 (4), 365–376. https://doi.org/slExterner Link.
Jablonka, K. M.; Jothiappan, G. M.; Wang, S.; Smit, B.; Yoo, B. Bias Free Multiobjective Active Learning for Materials Design and Discovery. Nat Commun 2021, 12 (1), 2312. https://doi.org/10.1038/s41467-021-22437-0Externer Link.
Jablonka, K. M.; Ongari, D.; Moosavi, S. M.; Smit, B. Using Collective Knowledge to Assign Oxidation States of Metal Cations in Metal–Organic Frameworks. Nat. Chem. 2021, 13 (8), 771–777. https://doi.org/10.1038/s41557-021-00717-yExterner Link.