Research shows that coupling geothermal power plants with lithium extraction from geothermal brine would make geothermal energy more economically viable, providing renewable energy and valuable raw materials.

We are pleased to welcome 20 new joint appointees to PNNL.

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

This PNNL-developed separation system quickly and successfully separates larger particles from smaller ones at various scales, in different solid-liquid mixtures and at different flow rates.

PNNL scientists have developed a new mass spectrometry method for in-depth analysis of proteins in individual cells.

Data from increasingly complex mass spectrometry instruments met with adaptable data analysis solution.

PNNL and industry developing a faster, less expensive way to extract lithium for batteries used in cell phones and electric vehicles.

Tim Johnson has been selected for an open-ended term as associate editor of the Groundwater journal.

Recognizing how innovation and clean technologies at the very edge of the grid can work together to transition the electricity system, PNNL takes a multidisciplinary approach to advancing and integrating renewable energy solutions.

Members of a geothermal energy collaboration go deep—real deep—to install a first-of-its kind system for evaluating interactions among water and rock.

The scientist behind the online cartoon RedPen/BlackPen explains how humor can build bridges between scientists and the public.

PNNL scientists are protecting first responders and others by expanding what’s known about fentanyl, the driver of the opioid epidemic.

PNNL chief chemical engineer Carlos Fernandez is a guest editor for a set of collection papers in Scientific Reports focusing on natural fibers.

Researchers characterize protein signatures that indicate Acute Kidney Injury in COVID-19 patients.

Simulations reveal advantages of using new model vs. allometric scaling for risk assessment.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.

A team led by researchers at PNNL demonstrated a new way to monitor deep subsurface fractures.

Scientists have devised a way to engineer yeast to produce sustainable, eco-friendly commodity chemicals using computing power as a guide.

The nested nanoPOTS chip is the next generation of technology developed at PNNL to prepare single cells for proteomics.

Researchers map nearly 9,000 proteins in the human lungs, providing a clearer picture of development.