A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions. Read More
A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them. Read More
A PNNL-led team's mission: integrate climate models to reflect human impact on natural resources – and vice versa. Read More
Exascale computing, combined with redesigned computational chemistry software, could help researchers develop new renewable energy materials and greener chemical processes. Read More
Complex simulations are unraveling the idiosyncrasies of this unique liquid’s behavior. Read More
PNNL team views 'undervolting' — turning down the power supplied to processors — as a way to make exascale computing… Read More
A PNNL team builds models of deep-earth water flows that affect the tiny organisms that can make big contributions to… Read More
A Pacific Northwest National Laboratory researcher is developing approaches to spread the work evenly over scads of processors in a… Read More
A Pacific Northwest National Laboratory computation suggests that the water-gas compounds found in ocean permafrost can provide energy and store… Read More
