SEA-CROGS is one of four Mathematical Multifaceted Integrated Capability Centers selected for support by the Department of Energy.

New research makes molecular-level calculations of water faster and easier.

James Ang, John Feo, and Marco Minutoli organized a high performance computing workshop at the prestigious ISC High Performance 2022 conference.

PNNL researchers teamed up with SambaNova to enhance artificial intelligence for scientific computing.

TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.

Business, industry, and government careers were a focus of the PNNL-led Mathematics Research Communities conference.

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

PNNL experts perform fundamental climate science work at multiple scales to understand impacts on energy, water, food, and infrastructure systems.

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.

Anika Halappanavar’s research into COVID-19 misinformation earned her recognition by the Washington State Academy of Sciences as one of the state’s top high school researchers.

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.

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

Researchers have been investigating if machine learning techniques could be used to help create novel beers.

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

PNNL is highlighting scientific and technical experts in the national security domain who were recently promoted to scientist and engineer Level 5, one of PNNL’s most senior research roles.

PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.

Covalent organic polymers can adsorb three times more refrigerant than the best available alternatives, resulting in more efficient cooling.