PNNL researchers received the “Best Paper Award” at the 39th IEEE International Conference on Computer Design.

With an eye on renewable, accessible, and resilient power, PNNL researchers show hyper-local microgrids are a viable option, if designed with the right mix of sources.

Johannes Lercher, Battelle Fellow and director of the PNNL Institute for Integrated Catalysis, envisions energy storage solutions at the new Energy Sciences Center.

Artificial intelligence-based decision tool enables grid operators to respond more quickly and effectively to grid emergencies.

PNNL researchers contributed to the International Conference on Data Science and Advanced Analytics 2021 Best Paper Award-winning publication.

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.

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

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

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

High-performance imaging provides a cornerstone for innovation at the Energy Sciences Center opening at PNNL.

Scott Chambers creates layered structures of thin metal oxide films and studies their properties, creating materials not found in nature. He will soon move his instrumentation and research to the new Energy Sciences Center.

Tumeo joins other computer scientists in a contributed article on graph processing systems to the Communications of the ACM.

Researchers at PNNL examined heat pump water heater (HPWH) operation in Pacific Northwest residences, gaining insights into HPWH electricity use patterns. Part of the study captured trends during a COVID-19 stay-at-home order.

Gutiérrez and his collaborators aim to lower the energy cost of converting plastics into fuels and lubricants.

PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

Slaven Peles, PNNL computational scientist and leader of a national high-performance computing project for power grid analysis, spoke about the project with the host of the Let’s Talk Exascale podcast.

With a focus on prevention, PNNL researchers are working to predict droughts, enhance grid resilience, and manage forests to reduce wildfire.

PNNL’s Karol Kowalski leads one of the 29 projects selected to receive a total of $73 million in funding.

The U.S. Department of Energy has selected the Scalable Predictive Methods for Excitations and Correlated Phenomena project to receive funding to develop software for chemical research.

Michael Tillou, a senior buildings research engineer at PNNL, has been honored with an ASHRAE Distinguished Service Award.