Taylor, Michael G.

Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning

Nandy, A., Duan, C., Taylor, M. G., Liu, F., Steeves, A. H., & Kulik, H. J. (2021) · Chemical Reviews

Machine Learning in Materials ScienceComputational Drug Discovery Methods

Cited by 358

Seeing Is Believing: Experimental Spin States from Machine Learning Model Structure Predictions

Taylor, M. G., Yang, T., Lin, S., Nandy, A., Janet, J. P., Duan, C., & Kulik, H. J. (2020) · The Journal of Physical Chemistry A

Magnetism in coordination complexesMachine Learning in Materials Science

Cited by 81

Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles

Duan, C., Chen, S., Taylor, M. G., Liu, F., & Kulik, H. J. (2021) · Chemical Science

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 40