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Florence H Vermeire

Showing results (1-10 of 8) with videos related to

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Journal of the American Chemical Society|June 10, 2022
Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and TemperaturesFlorence H Vermeire, Yunsie Chung, William H Green
Bioresource Technology|December 20, 2025
Inferring cell division kinetics in Chlamydomonas reinhardtii from flow cytometry with Gaussian process regressionMichiel Busschaert, Michael Schagerl, Christian Griebler, et al.
Journal of Chemical Information and Modeling|June 20, 2023
Characterizing Uncertainty in Machine Learning for ChemistryEsther Heid, Charles J McGill, Florence H Vermeire, et al.
Journal of Chemical Information and Modeling|January 19, 2022
Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation EnthalpyYunsie Chung, Florence H Vermeire, Haoyang Wu, et al.
Reviews in Chemical Engineering|April 30, 2025
Machine learning applications for thermochemical and kinetic property predictionLowie Tomme, Yannick Ureel, Maarten R Dobbelaere, et al.
The Journal of Physical Chemistry. B|November 15, 2023
ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of SolventsLagnajit Pattanaik, Angiras Menon, Volker Settels, et al.
Journal of Chemical Information and Modeling|December 26, 2023
Chemprop: A Machine Learning Package for Chemical Property PredictionEsther Heid, Kevin P Greenman, Yunsie Chung, et al.
Science (New York, N.Y.)|December 21, 2023
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and backBrent A Koscher, Richard B Canty, Matthew A McDonald, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of the American Chemical Society|June 10, 2022
Predicting Solubility Limits of Organic Solutes for a Wide Range of Solvents and TemperaturesFlorence H Vermeire, Yunsie Chung, William H Green
Bioresource Technology|December 20, 2025
Inferring cell division kinetics in Chlamydomonas reinhardtii from flow cytometry with Gaussian process regressionMichiel Busschaert, Michael Schagerl, Christian Griebler, et al.
Journal of Chemical Information and Modeling|June 20, 2023
Characterizing Uncertainty in Machine Learning for ChemistryEsther Heid, Charles J McGill, Florence H Vermeire, et al.
Journal of Chemical Information and Modeling|January 19, 2022
Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation EnthalpyYunsie Chung, Florence H Vermeire, Haoyang Wu, et al.
Reviews in Chemical Engineering|April 30, 2025
Machine learning applications for thermochemical and kinetic property predictionLowie Tomme, Yannick Ureel, Maarten R Dobbelaere, et al.
The Journal of Physical Chemistry. B|November 15, 2023
ConfSolv: Prediction of Solute Conformer-Free Energies across a Range of SolventsLagnajit Pattanaik, Angiras Menon, Volker Settels, et al.
Journal of Chemical Information and Modeling|December 26, 2023
Chemprop: A Machine Learning Package for Chemical Property PredictionEsther Heid, Kevin P Greenman, Yunsie Chung, et al.
Science (New York, N.Y.)|December 21, 2023
Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and backBrent A Koscher, Richard B Canty, Matthew A McDonald, et al.
Pageof 1