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OCTOBER 13, 2020
Web Feature

Opening the Black Box of Neural Networks

Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.
AUGUST 3, 2020
Web Feature

Projecting the Future Trade of Virtual Water

An analysis led by PNNL scientists projects that the volume of virtual water embedded in the global agriculture trade could triple by 2100. The results point to regions that might become global food suppliers or dependent on food imports.
APRIL 21, 2020
Web Feature

Beneath It All

At PNNL, subsurface science inhabits two separate but interlocking worlds. One looks at basic science, the other at applied science and engineering. Both are funded by the U.S. Department of Energy (DOE).
MARCH 12, 2020
Web Feature

Tracking Toxics in the Salish Sea

With the help of a diagnostic tool called the Salish Sea Model, researchers found that toxic contaminant hotspots in the Puget Sound are tied to localized lack of water circulation and cumulative effects from multiple sources.