Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

Vanda Glezakou and Laboratory Fellow Roger Rousseau collaborated with other experts to write an American Chemical Society book chapter.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

Senior members of the National Academy of Inventors are recognized for their remarkable innovations that have brought, or aspire to bring, real impact on the welfare of society.

The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.

PNNL and Oklahoma State University join forces to understand the chemistry of sodium-ion and potassium-ion batteries thanks to an award from the U.S. Department of Energy's Established Program to Stimulate Competitive Research (EPSCoR).

Three Pacific Northwest National Laboratory researchers have received Young Investigator Awards, providing funding for innovative battery research.