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.

Michael Tillou, a senior buildings research engineer at PNNL, has been honored with an ASHRAE Distinguished Service Award.

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

Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.

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.

The American Society for Quality (ASQ) has recognized Laboratory Fellow and Pacific Northwest National Laboratory (PNNL) Statistician Greg Piepel with the William G. Hunter Award.

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 researchers Lisa Bramer and Sarah Reehl were on a team that received a patent for its work with electron microscopy. Electron microscopy allows scientists to make nanoscale observations of materials.

The National Association of Mathematics named PNNL Data Analyst Brett Jefferson best speaker for his presentation on an innovative mathematical finding that could be used to improve electric grid coverage.

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.

Society for Risk Analysis recognizes PNNL infrastructure network resilience collaboration with Northeastern University-Boston