Florence H. Vermeire

According to our database, Florence H. Vermeire authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Chemprop: A Machine Learning Package for Chemical Property Prediction.

Esther Heid, Kevin P. Greenman, Yunsie Chung, Shih-Cheng Li, David E. Graff, Florence H. Vermeire, Haoyang Wu, William H. Green Jr., Charles McGill

J. Chem. Inf. Model., January, 2024

2023

SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes.

Min Wu, Ulderico Di Caprio, Furkan Elmaz, Florence H. Vermeire, Bert Metten, Olivier Van Der Ha, Dries De Clercq, Siegfried Mercelis, Peter Hellinckx, Leen Braeken, Mumin Enis Leblebici

Comput. Chem. Eng., November, 2023

Characterizing Uncertainty in Machine Learning for Chemistry.

Esther Heid, Charles McGill, Florence H. Vermeire, William H. Green Jr.

J. Chem. Inf. Model., July, 2023

Modeling Cell Size Distribution With Heterogeneous Flux Balance Analysis.

Michiel Busschaert, Florence H. Vermeire, Steffen Waldherr

IEEE Control. Syst. Lett., 2023

2022

Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy.

Yunsie Chung, Florence H. Vermeire, Haoyang Wu, Pierre J. Walker, Michael H. Abraham, William H. Green Jr.

J. Chem. Inf. Model., 2022