In a new review, PNNL researchers outline how to convert stranded biomass to sustainable fuel using electrochemical reduction reactions in mini-refineries powered by renewable energy.
PNNL atomic-scale research shows how certain metal oxide catalysts behave during alkanol dehydration, an important class of oxygen-removal reactions for biomass conversion.
PNNL’s Karthikeyan Ramasamy was elected to a three-year term as a director in the American Institute of Chemical Engineers’ Fuels and Petrochemicals Division.
Jonathan Male originally joined PNNL in 2006 as a scientist focused on catalysis. After more than seven years leading DOE’s Bioenergy Technologies Office, he's back at PNNL as a chief scientist in the Energy Processes & Materials Division.
To help spur economic development and assist in the battle against COVID-19, PNNL is making available its entire portfolio of patented technologies on a research trial basis—at no cost—through the end of 2020.
PNNL is managing the Data Archive and Portal, which provides the wind research community with secure, timely, easy, and open access to all data brought in from research under DOE’s Atmosphere to Electrons program.
PNNL data scientists Maria Glenski and Svitlana Volkova have contributed a chapter to a book titled Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities.
Two PNNL team members, Courtney Corley, a data scientist, and Kyle Bingman, an advisor on assured artificial intelligence (AI), were featured on a recent episode of the U.S. Department of Energy Direct Currents podcast.
The PNNL team that made history, working with industrial partner LanzaTech, by creating the first jet fuel from industrial waste gas will receive a 2020 IRI Achievement Award for its breakthrough.
Ten staff members from PNNL were invited to attend and lead the various breakout sessions at the Department of Energy Office of Science 5G Enabled Energy Innovation Workshop (5GEEIW), which was held in early March.
Two PNNL researchers are helping define the future of transparency and accountability for public and private use of autonomous and intelligent systems.
PNNL and the U.S. Forest Service used a combination of data, models, analytical techniques and software to evaluate forest restoration impacts on the environment, while also assessing the economics of resulting biomass.