Vermeire, Florence, H
220  Ergebnisse:
Personensuche X
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1

Non-noble catalysts formulations using CuO-CeO2/Nb2O5 for l..:

Beg, Mirza Belal ; Ali, Labeeb ; Shittu, Toyin...
Journal of Environmental Chemical Engineering.  12 (2024)  4 - p. 113177 , 2024
 
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3

Characterizing Uncertainty in Machine Learning for Chemistr:

Heid, Esther ; McGill, Charles J. ; Vermeire, Florence H..
Journal of Chemical Information and Modeling.  63 (2023)  13 - p. 4012-4029 , 2023
 
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4

Chemprop: A Machine Learning Package for Chemical Property ..:

Heid, Esther ; Greenman, Kevin P. ; Chung, Yunsie...
Journal of Chemical Information and Modeling.  64 (2023)  1 - p. 9-17 , 2023
 
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5

Maximizing the production of high-value chemicals via fast-..:

Li, Liang ; Vermeire, Florence H. ; Van de Vijver, Ruben...
Journal of Analytical and Applied Pyrolysis.  171 (2023)  - p. 105974 , 2023
 
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9

ConfSolv: Prediction of Solute Conformer-Free Energies acro..:

Pattanaik, Lagnajit ; Menon, Angiras ; Settels, Volker...
The Journal of Physical Chemistry B.  127 (2023)  47 - p. 10151-10170 , 2023
 
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10

Ab Initio Group Additive Values for Thermodynamic Carbenium..:

Ureel, Yannick ; Vermeire, Florence H. ; Sabbe, Maarten K..
Industrial & Engineering Chemistry Research.  62 (2022)  1 - p. 223-237 , 2022
 
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12

Group Contribution and Machine Learning Approaches to Predi..:

Chung, Yunsie ; Vermeire, Florence H. ; Wu, Haoyang...
Journal of Chemical Information and Modeling.  62 (2022)  3 - p. 433-446 , 2022
 
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15

Machine Learning for Physicochemical Property Prediction of..:

Dobbelaere, Maarten R. ; Ureel, Yannick ; Vermeire, Florence H....
Industrial & Engineering Chemistry Research.  61 (2022)  24 - p. 8581-8594 , 2022
 
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