Pacific Northwest

Learning climate

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

August, 2023

The human factor

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

January, 2023

On guard

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

January, 2021

Earth’s multimodel future

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

February, 2020

Revving up chemistry

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

December, 2018

Water works

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

March, 2018

Powering down

PNNL team views 'undervolting' — turning down the power supplied to processors — as a way to make exascale computing… Read More

December, 2015

Life underground

A PNNL team builds models of deep-earth water flows that affect the tiny organisms that can make big contributions to… Read More

August, 2014

Balancing act

A Pacific Northwest National Laboratory researcher is developing approaches to spread the work evenly over scads of processors in a… Read More

October, 2013

Twice-stuffed permafrost

A Pacific Northwest National Laboratory computation suggests that the water-gas compounds found in ocean permafrost can provide energy and store… Read More

July, 2012