Data Challenges in Atomistic Machine Learning

The next big hurdle in the field of atomistic machine learning was data.

Scientists struggled and longed for more precise and varied data to feed their models.

Their search for information carried them beyond laboratories into the wide reaches of space.

Every atom and molecule has the potential to tell a story.

As more data came in, the models learned, changed, and began to unveil the mysteries of the atomic world.