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

A paper by PNNL scientists on nuclear explosion monitoring technology is among top articles in nuclear instruments journal to draw most social media “buzz.”

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.

The multi-year project funded by DOE’s High Energy Physics program will focus on using machine learning to prevent power outages.

George Karniadakis receives award highlighting 30 years of work developing computational methods to solve real-world problems.

As a physicist at PNNL, Jon Burnett’s work is about developing instruments to detect ultra-trace radionuclide signatures, analyze samples from around the world to look for evidence of nuclear explosions, and then interpret that information.

The workshop brought together 184 scientists to explore research opportunities for nuclear physics in artificial intelligence.

Rey Suarez was the keynote speaker at the Preparatory Commission of the Comprehensive Nuclear-Test-Ban Treaty Organization’s Specialized Technical Meeting on Preventive and Predicative Maintenance of the International Monitoring System.

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.

Brian Milbrath, a physicist in PNNL’s National Security Directorate, was named a senior member of the Institute of Electrical and Electronics Engineers (IEEE).

Ang Li and Antonino Tumeo will present hardware to balance machine learning workloads at a top computer architecture conference.

PNNL data scientist Carlos M. Ortiz Marrero has co-edited a volume that highlights work at the intersection of quantum computation and mathematics.

PNNL research scientists Jay Grate and Matthew O'Hara co-authored a chapter in the fourth edition of the Handbook of Radioactivity Analysis. 

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.