PNNL researchers learn to control peptoid “handedness,” one key to precision drug delivery and diagnostics.

As new paradigms in advanced computing take shape, computational chemistry researchers are finding new ways to solve challenging chemistry problems.

The use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.

Converting seawater into hydrogen fuel using electrochemistry offers a renewable energy future for Guam.

The Rapid Assessment of Platform Technologies to Expedite Response project aims to prepare against future pandemics.

PNNL scientists are creating new ways to learn more about the vast sea of chemicals that haven't been identified—yet.

Researchers created the first open-source database of exotic materials eyed for use in quantum applications.

To overcome high-performance computing bottlenecks, a research team at PNNL proposed using graph theory, a mathematical field that explores relationships and connections between a number, or cluster, of points in a space.

As the world races to discover solutions for reaching net zero carbon emissions, a PNNL analysis quantifies the economic value of the existing nuclear power fleet and its carbon-free energy contributions.

Tungsten heavy alloys show promise for nuclear fusion energy development, according to new research conducted at PNNL.

Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.

In honor of National Intern Day, PNNL and intern Jonathan Mills were named among the Top 100 in the nation by early-career recruiting firm WayUp.

TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.

Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

PNNL researchers are studying catalysts that are key to dealing with waste and producing sustainable energy.

Two PNNL interns are behind recent innovation in real-time testing and continuous monitoring for pH and the concentration of chemicals of interest in chemical solutions; outcomes have applicability not only to nuclear, but to industries.

Creating films with atomic precision allows researchers moving to the Energy Sciences Center to identify small, but important changes in the materials.

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

PNNL commemorates 9/11 and reflects on the 20 years of science and technology produced since to protect against threats and make America safer.

PNNL report reflects 10 years of dedication to effectively plan for the safe and uneventful removal of radioactive waste from nuclear power plants.