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.
PNNL physical oceanographer Maggie McKeon will speak February 3 at the U.S. launch meeting for the United Nations’ Ocean Decade. She will present on improving diversity in the Superfund site workforce.
The MIT-sponsored competition encourages community approaches to developing new solutions for analyzing graphs and sparse data; PNNL has placed a winner in each year.
PNNL’s Heida Diefenderfer was recently appointed to a National Academies of Sciences, Engineering, and Medicine committee that will assess long-term environmental trends in the Gulf of Mexico region.
PNNL scientists Larry Berg, Susannah Burrows, Nicholas Ward, and Yun Qian were named among the most outstanding journal reviewers by the American Geophysical Union.
Lenaïg Hemery, a marine energy specialist with Pacific Northwest National Laboratory, has been appointed to the position of topic editor for the Journal of Marine Science and Engineering.
PNNL coastal ecologist Heida Diefenderfer was a featured speaker in February at the National Academies of Sciences, Engineering, and Medicine’s Government-University-Industry Research Roundtable on policy and global affairs.
PNNL Emeritus Scientist Ronald Thom received the 2019 Environmental Leadership Award at the Northwest Straits Marine Conservation Initiative Conference.
Sonja Glavaski and Kevin Schneider, both electrical engineers at PNNL, have been named as IEEE fellows. IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
A student computing security research project guided by PCSD computer scientists Ang Li and Kevin Barker placed third among dozens of entries in the student research poster session at SC19, a premier annual conference for high-performance c
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.