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Journal of Chemical Information and Modeling
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October 12, 2021
Explainable Molecular Sets: Using Information Theory to Generate Meaningful Descriptions of Groups of Molecules
Adam C Mater, Michelle L Coote
Journal of Chemical Information and Modeling
|
June 14, 2019
Deep Learning in Chemistry
Adam C Mater, Michelle L Coote
Physical Chemistry Chemical Physics : PCCP
|
January 11, 2018
Effect of heteroatom and functionality substitution on the oxidation potential of cyclic nitroxide radicals: role of electrostatics in electrochemistry
Kai Zhang, Benjamin B Noble, Adam C Mater, et al.
Protein Science : a Publication of the Protein Society
|
July 21, 2025
Investigating the determinants of performance in machine learning for protein fitness prediction
Mahakaran Sandhu, Adam C Mater, Dana S Matthews, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Journal of Chemical Information and Modeling
|
October 12, 2021
Explainable Molecular Sets: Using Information Theory to Generate Meaningful Descriptions of Groups of Molecules
Adam C Mater, Michelle L Coote
Journal of Chemical Information and Modeling
|
June 14, 2019
Deep Learning in Chemistry
Adam C Mater, Michelle L Coote
Physical Chemistry Chemical Physics : PCCP
|
January 11, 2018
Effect of heteroatom and functionality substitution on the oxidation potential of cyclic nitroxide radicals: role of electrostatics in electrochemistry
Kai Zhang, Benjamin B Noble, Adam C Mater, et al.
Protein Science : a Publication of the Protein Society
|
July 21, 2025
Investigating the determinants of performance in machine learning for protein fitness prediction
Mahakaran Sandhu, Adam C Mater, Dana S Matthews, et al.
Page
of 1