PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.
This is a story of how Nikki Sather's career journey studying the pulse of the Pacific Northwest's ecosystems began with a salmon's heartbeat. Sather currently works as an earth scientist at PNNL's Marine and Coastal Research Laboratory.
By combining state-of-the-art computational and experimental approaches, researchers have begun to resolve the effects of solvent molecules on electron transfer.
PNNL researchers Leo Fifield, Mike Larche, and Bishnu Bhattarai were recently elected to the board of the Institute of Electrical and Electronics Engineers Richland, Washington section.
Wendy Shaw, director of the Physical Sciences Division at PNNL, was selected to guest edit a special issue on (photo)electrocatalysis featured in January 2021 edition of the scientific journal ChemComm.
Joint appointee and chief scientist for the Solid Phase Processing Science Initiative at PNNL Suveen Mathaudhu has been awarded a Brimacombe Medal by The Minerals & Materials Society.
Battelle Fellow Ruby Leung has been featured by the U.S. Department of Energy as an inspiring climate modeler in an article celebrating Women's History Month.
Niri Govind and Amity Andersen co-hosted a workshop to explain how to use theory and modeling in the interpretation of X-ray absorption spectroscopy data.
Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.
Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.
(ISC)², the world’s largest nonprofit association of cybersecurity professionals, elected PNNL cybersecurity expert Lori Ross O’Neil as vice chairperson of the board of directors.
PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.