Nicola Marzari

OPTIMADE connects users to essential materials data through a standardized API.

Researchers leverage machine learning to predict important Hubbard parameters for materials.

New machine learning method improves efficiency of Koopmans spectral functional calculations.

Research identifies promising alternatives to tungsten for fusion reactor components.

Research highlights improvements in lithium argyrodite for safer, more efficient batteries.

New method improves understanding of spin excitations in magnetic materials.

Exploring the behavior of CaSiO3 under extreme conditions.

Discover how electrostatic interactions shape materials like barium titanate.

Scientists are developing membranes to filter specific ions for better energy and water solutions.

Discover the unique properties of lithium manganese oxide in energy storage.

Discover how titanium dioxide is set to transform renewable energy production.

Discover the role of elastic constants in material science and engineering.