Pacific Northwest National Laboratory

Learn more about Pacific Northwest National Laboratory

Learning climate

August 2023

A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions.


The human factor

January 2023

A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them.


On guard

January 2021

A Pacific Northwest National Laboratory team is testing machine-learning methods that would detect and possibly block supercomputer intruders.


Earth’s multimodel future

February 2020

A PNNL-led team’s mission: integrate climate models to reflect human impact on natural resources – and vice versa.


Revving up chemistry

December 2018

Exascale computing, combined with redesigned computational chemistry software, could help researchers develop new renewable energy materials and greener chemical processes.


Water works

March 2018

Complex simulations are unraveling the idiosyncrasies of this unique liquid’s behavior.


Cables in one of 30 cabinets that comprise Edison, a Cray XC30 supercomputer at the National Energy Research Scientific Computing Center.

Powering down

December 2015

PNNL team views ‘undervolting’ — turning down the power supplied to processors — as a way to make exascale computing feasible.


Life underground

August 2014

A PNNL team builds models of deep-earth water flows that affect the tiny organisms that can make big contributions to climate-changing gases.


Balancing act

October 2013

A Pacific Northwest National Laboratory researcher is developing approaches to spread the work evenly over scads of processors in a high-performance computer and to keep calculations clicking even as part of the machine has a hiccup.


Twice-stuffed permafrost

July 2012

A Pacific Northwest National Laboratory computation suggests that the water-gas compounds found in ocean permafrost can provide energy and store it, too – and then trap carbon dioxide.


Getting a grip on the grid

A PNNL team enlists new algorithms and powerful computers to quickly analyze which combinations of failures most threaten the power grid.


The big face off

December 2009

Pacific Northwest National Laboratory researchers say their algorithms can analyze millions of video frames, pluck out the faces and quantify them to create searchable databases for facial identification.