A new study demonstrates a hybrid model that can simulate part of a system at the molecular scale and other parts at larger scales in a computationally efficient manner, providing greater simulation flexibility.

PNNL played host in mid-May to the Artificial Intelligence for Robust Engineering & Science workshop, an annual event that explores advances in artificial intelligence

PNNL shared recent developments in artificial intelligence at the inaugural Special Competitive Studies Project AI for National Competitiveness Expo.

Publisher will draw on Katrina Waters' expertise in public health and infectious disease.

PNNL’s Nell Byler and Elise Bishoff shared their computer vision expertise with high school students at the National Science Bowl Science Day

Scientists at PNNL harnessing advances in deep learning, deep reinforcement learning and generative AI to change how science is conducted and achieve original scientific results and breakthroughs.

Policy changes in power, energy, buildings, and more could help slow global temperature rise, according to a new report with co-authors from PNNL’s Joint Global Change Research Institute.

The 2024 Jack Simons Award honor recognizes Li for his expertise in integrating chemistry with computing for fundamental science research.

Research at PNNL and the University of Texas at El Paso are addressing computational challenges of thinking beyond the list and developing bioagent-agnostic signatures to assess threats.

PNNL’s Andrew Engel, Tony Chiang, and Sutanay Choudhury at the 2024 ICLR in Vienna.

New research sheds light on the biomolecular dangers of night shift work.

A new study suggests accessing groundwater in key regions could become prohibitively expensive as lower-cost stores are used up.

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

Five PNNL scientists participated in an invitation-only Department of Energy-sponsored workshop on coastal systems. 

New work finds hurricanes are intensifying faster close to the coast—a trend that’s likely to ramp up in a warmer world.

Reaching net-zero carbon emissions goals requires finding transformative paths to manage carbon in difficult-to-electrify economic sectors.

Vigorous exercise burns fat more in males than in females, but the benefits of exercise are broad for both sexes.

PNNL contributes to a nationwide research consortium investigating the molecular mechanisms triggered by endurance training.

PNNL computing experts Robert Rallo and Court Corley contribute their knowledge to a recent DOE report on applications of AI to energy, materials, and the power grid.

A breakthrough in electron microscopy based on deep learning can automatically visualize and identify areas of interest, helping to speed advances in materials science.