Nicholas J. Browning

1 month ago | pubs.acs.org | David Kovacs |J. Moore |Nicholas J. Browning |Ilyes Batatia

1. IntroductionClick to copy section linkSection link copied!Machine learning (ML) force fields have recently undergone major improvements in accuracy, robustness, and computational speed. (1−13) They are now routinely used in materials chemistry contexts, where density functional theory was previously the method of choice.

1 month ago | dx.doi.org | David Kovacs |J. Moore |Nicholas J. Browning |Ilyes Batatia

1. IntroductionClick to copy section linkSection link copied!Machine learning (ML) force fields have recently undergone major improvements in accuracy, robustness, and computational speed. (1−13) They are now routinely used in materials chemistry contexts, where density functional theory was previously the method of choice.