Foundation models are being explored for predicting physical properties of atoms and molecules.
Applying generative modeling to scientific computing, particularly in materials science, has the potential to revolutionize the field.
The success of foundation models in materials science hinges on finding the right architecture, generative modeling task, and ensuring real-world applicability.