Predicting Transition State Structures with Tensor Field Networks and Transfer Learning
The year 2021 was a Pandora’s Box for machine learning in chemistry. DeepMind put the chemistry world on notice when it published its approach to the protein folding problem [1]. I expect that we will continue to see machine learning approaches quickly dominate the well-defined, data-rich problems in chemistry. However, there are other challenges that are harder to […]