At a conference featuring the most advanced computing hardware and software, ML in its various guises was on full display and highlighted by Nathan Baker’s featured invited presentation.
Ben Bond-Lamberty, an Earth scientist, and Melanie Roberts, director of state and regional affairs at PNNL, have been named as AAAS fellows, along with Aurora Clark, a Laboratory Fellow and joint appointee from Washington State University.
PNNL and Argonne researchers developed and tested a chemical process that successfully captures radioactive byproducts from used nuclear fuel so they could be sent to advanced reactors for destruction while also producing electrical power.
Washington State University's Aurora Evelyn Clark, deputy director of the IDREAM DOE Energy Frontier Research Center led by PNNL, has been named a fellow by the American Association for the Advancement of Science (AAAS).
Jason McDermott is a PNNL computational biologist whose research interests include machine learning, data integration, and network inference. He unravels complex data related to cancer, infectious disease, and soil microbiomes.
National Security project manager Jamie Hughes has been selected as a member of the 2020 U.S. Department of Energy (DOE) Project Leadership Institute (PLI) cohort. Hughes will join 25 colleagues in the year-long program.
Seventeen teams from regional colleges and universities gathered at PNNL Nov. 16 to put their cyber skills to the test by protecting critical energy infrastructure against simulated cyberattacks as part of DOE's CyberForce Competition.
Global climate change is often at the forefront of national and international discussions and controversies, yet many details of the specific contributing factors are poorly understood.
Advancements such as LEDs have changed consumers’ experience with lighting. Whereas there was once a simple choice of how much light a consumer desired, there’s now a variety of choices to be made about the appearance of light.
Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.