Florence Vermeire
Affiliations: | 2021 | Chemical Engineering | Massachusetts Institute of Technology, Cambridge, MA, United States |
| 2022- | Chemical Engineering | Katholieke Universiteit Leuven (Belgium) |
Area:
Reaction Engineering, Simulation, Machine LearningWebsite:
https://www.kuleuven.be/wieiswie/en/person/00152381Google:
"Florence Vermeire"Bio:
PhD Laboratory for Chemical Technology, Gent Univ.
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Publications
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| Heid E, Greenman KP, Chung Y, et al. (2023) Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of Chemical Information and Modeling. 64: 9-17 |
| Koscher BA, Canty RB, McDonald MA, et al. (2023) Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back. Science (New York, N.Y.). 382: eadi1407 |
| Pattanaik L, Menon A, Settels V, et al. (2023) ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of Solvents. The Journal of Physical Chemistry. B |
| Heid E, McGill CJ, Vermeire FH, et al. (2023) Characterizing Uncertainty in Machine Learning for Chemistry. Journal of Chemical Information and Modeling |
| Aerssens J, Vermeire F, Aravindakshan SU, et al. (2022) The merit of pressure dependent kinetic modelling in steam cracking. Faraday Discussions. 238: 491-511 |
| Vermeire FH, Chung Y, Green WH. (2022) Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and Temperatures. Journal of the American Chemical Society |
| Chung Y, Vermeire FH, Wu H, et al. (2022) Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy. Journal of Chemical Information and Modeling |