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

Morris Bullock has led PNNL's pursuit of the efficient conversion of electrical energy and chemical bonds through control of electron and proton transfers.

PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.

Researchers in the IDREAM Energy Frontier Research Center unearth new defects during gibbsite crystallization using a multi-instrument approach.

PNNL Chief Scientist for Computing Jim Ang will be part of a DOE Office of Science virtual discussion regarding industry collaborations on AI hardware.

Newly determined energy transfer mechanisms help identify how water releases from and damages irradiated interfaces.

PNNL data scientist to edit collection of research articles focused on understanding how microcircuits function in the brain and in artificial intelligence systems.

A paper co-authored by Courtney Corley was recently selected as the most influential paper for the Twenty-First National Conference on Artificial Intelligence.

Four research staff from PNNL are part of an international team that earned top honors for a journal paper focused on a new algorithm-evaluation approach for buildings.

Anika Halappanavar’s research into COVID-19 misinformation earned her recognition by the Washington State Academy of Sciences as one of the state’s top high school researchers.

Semiconductor experiments reveal a surprising new source of conductivity from oxygen atoms trapped inside the material.

Materials scientist joins the editorial board of inaugural journal, Frontiers in Nuclear Engineering.

Developing an understanding of how water breaks apart after radiation exposure.

Chief Chemical Engineer Xiao-Ying Yu joins the editorial board of inaugural journal, Frontiers in Nuclear Engineering.

IDREAM researchers use fast force mapping to provide insights into the boehmite interfacial solution structure.

IDREAM researchers assess the potential of photon-in/photon-out XFEL techniques to explore early time reaction steps and ultimately improve nuclear waste processing strategies.

Steven Spurgeon, a materials scientist and microscopy researcher at PNNL, has accepted an affiliate associate professorship at the University of Washington Department of Physics.

In adjoining Energy Sciences Center laboratories, researchers develop better energy storage devices by understanding the fundamental reactions that form interfaces.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

Researchers have been investigating if machine learning techniques could be used to help create novel beers.