Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

As part of a long-term collaboration, researchers in Prof. Y. Shirley Meng's lab at the UChicago Pritzker School of Molecular ...

A recent study found that the Hubbard model failed to accurately predict the behavior of a simplified one-dimensional cuprate ...

Researchers explored a colloidal crystal model to produce specific polymorphs, required for use in materials science and pharmaceuticals.

Polymorphs are not mythical, chimeric beasts—they are substances with identical chemical compositions but differing crystal ...