Direct visualization of metal atoms during shear deformation has broad applications from battery design to vehicle lightweighting.

PNNL’s fall Pathways to Excellence award ceremony celebrated nearly 50 staff for their contributions across science, engineering, operations, and STEM education.

Interns dive into important research that addresses national needs.

The Department of Energy Secretary Jennifer Granholm made her first in-person visit to PNNL, a leading center for scientific discovery and technical innovation in sustainable energy.

EGRASS helps prepare and fortify critical structures to protect against the worst consequences of new hurricanes.

A new approach to epitaxial growth can produce different complex oxides through ion movement.

Yunyang Ye, a research engineer at PNNL, receives ASHRAE Homer Addams Award.

The Washington State Academy of Sciences added six people from PNNL to its 2022 class of inductees.

DOE to invest with PNNL in streamlining the commercialization of national laboratory innovations.

A new longer-lasting sodium-ion battery design is much more durable and reliable in lab tests. After 300 charging cycles, it retained 90 percent of its charging capacity.

Srinivas Katipamula, a staff scientist at PNNL, has been honored with an ASHRAE Exceptional Service Award.

Michael Brambley, a mechanical engineer at PNNL, receives ASHRAE Exceptional Service Award.

Jie Xiao, a world leader in electrochemical energy storage, has received the E.O. Lawrence Award from the Department of Energy.

The size of the alkali metal within the material influences the crystallization pathway.

Providing a perspective on the importance of integrating experimental work with theory and simulations when designing new carbon capture solvents.

PNNL researchers developed a new model to help power system operators and planners better evaluate how grid-forming, inverter-based resources could affect the system stability.

Road tripping? PNNL’s researchers driving science and technology for clean, efficient and convenient transportation.

Jinhui Tao is chairing and organizing a crystal growth and epitaxy conference, while other PNNL staff serve as session chairs.

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

New facility will accelerate energy storage innovation, increase clean energy adoption and grid resilience.