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Samuel Boobier

Showing results (1-10 of 9) with videos related to

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Journal of Cheminformatics|May 28, 2024
Solvent flashcards: a visualisation tool for sustainable chemistryJoseph Heeley, Samuel Boobier, Jonathan D Hirst
Journal of Cheminformatics|December 15, 2017
Can human experts predict solubility better than computers?Samuel Boobier, Anne Osbourn, John B O Mitchell
Communications Chemistry|May 8, 2024
Machine learning insights into predicting biogas separation in metal-organic frameworksIsabel Cooley, Samuel Boobier, Jonathan D Hirst, et al.
ACS Sustainable Chemistry & Engineering|March 28, 2025
Interactive Knowledge-Based Kernel PCA for Solvent SelectionSamuel Boobier, Joseph Heeley, Thomas Gärtner, et al.
Journal of Cheminformatics|April 15, 2024
Mind your prevalence!Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, et al.
Nature Communications|November 14, 2020
Machine learning with physicochemical relationships: solubility prediction in organic solvents and waterSamuel Boobier, David R J Hose, A John Blacker, et al.
Journal of Chemical Information and Modeling|May 8, 2023
AI4Green: An Open-Source ELN for Green and Sustainable ChemistrySamuel Boobier, Joseph C Davies, Ivan N Derbenev, et al.
Journal of Chemical Information and Modeling|September 22, 2021
Predicting Solvent-Dependent Nucleophilicity Parameter with a Causal Structure Property RelationshipSamuel Boobier, Yufeng Liu, Krishna Sharma, et al.
Chemical Science|April 19, 2024
Activation of fluoride anion as nucleophile in water with data-guided surfactant selectionKrishna Sharma, Alison McCorry, Samuel Boobier, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Cheminformatics|May 28, 2024
Solvent flashcards: a visualisation tool for sustainable chemistryJoseph Heeley, Samuel Boobier, Jonathan D Hirst
Journal of Cheminformatics|December 15, 2017
Can human experts predict solubility better than computers?Samuel Boobier, Anne Osbourn, John B O Mitchell
Communications Chemistry|May 8, 2024
Machine learning insights into predicting biogas separation in metal-organic frameworksIsabel Cooley, Samuel Boobier, Jonathan D Hirst, et al.
ACS Sustainable Chemistry & Engineering|March 28, 2025
Interactive Knowledge-Based Kernel PCA for Solvent SelectionSamuel Boobier, Joseph Heeley, Thomas Gärtner, et al.
Journal of Cheminformatics|April 15, 2024
Mind your prevalence!Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, et al.
Nature Communications|November 14, 2020
Machine learning with physicochemical relationships: solubility prediction in organic solvents and waterSamuel Boobier, David R J Hose, A John Blacker, et al.
Journal of Chemical Information and Modeling|May 8, 2023
AI4Green: An Open-Source ELN for Green and Sustainable ChemistrySamuel Boobier, Joseph C Davies, Ivan N Derbenev, et al.
Journal of Chemical Information and Modeling|September 22, 2021
Predicting Solvent-Dependent Nucleophilicity Parameter with a Causal Structure Property RelationshipSamuel Boobier, Yufeng Liu, Krishna Sharma, et al.
Chemical Science|April 19, 2024
Activation of fluoride anion as nucleophile in water with data-guided surfactant selectionKrishna Sharma, Alison McCorry, Samuel Boobier, et al.
Pageof 1