Heather Kulik embraces computer models as “the only way to make a dent” in the vast number of potential materials that could solve important problems.

The new substance is the result of a feat thought to be impossible: polymerizing a material in two dimensions.

The machine-learning model could help scientists speed the development of new medicines.

A pill that releases RNA in the stomach could offer a new way to administer vaccines, or to deliver therapies for gastrointestinal disease.

Doctoral candidate Nina Andrejević combines spectroscopy and machine learning techniques to identify novel and valuable properties in matter.

Using ultrathin materials to reduce the size of superconducting qubits may pave the way for personal-sized quantum devices.

The new qubits stay in “superposition” for up to 10 seconds, and could make a promising foundation for quantum computers.

New work on superconducting kagome metal will aid design of other unusual quantum materials, with many potential applications.

Discovery allows scientists to study crucial intermediate in battery development.