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.

Materials scientist Arun Devaraj is committed to improving the quality and performance of metals with a big assist from atom probe tomography.

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.

PNNL chemical engineer Mariefel Olarte has been elected second vice chair to the ASTM D32 Committee on Catalysis.

Carbon-neutral waste-to-fuel flow cell process generates its own energy.

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

PNNL materials scientist Olga Marina has been appointed to the board of the Gen IV International Forum’s Very-High-Temperature Reactor organization.

Arun Devaraj elected vice president of an international society representing the atom probe tomography researcher community.

A research team is exploring the safety and feasibility of clean hydrogen to replace some fossil fuel in medium- and heavy-duty vehicles and maritime uses at the Port of Seattle.

PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.

Lab Fellow Morris Bullock co-chaired a roundtable that discussed the scientific and technical barriers to carbon-neutral hydrogen production.

PNNL’s new Energy Sciences Center has capabilities for scientists to advance solutions for storing clean hydrogen in chemical bonds.

PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.

When it comes to hydrogen compatibility, all rubbers are not created equal. New research hints at pathways to improve the durability of rubber-based materials in hydrogen infrastructure.

Hypergraphs can more faithfully identify important genes in complex immune responses.

A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.

A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.

More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.