Providing a perspective on the importance of integrating experimental work with theory and simulations when designing new carbon capture solvents.

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.

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.

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

IDREAM researchers use fast force mapping to provide insights into the boehmite interfacial solution structure.

Vanda Glezakou and Laboratory Fellow Roger Rousseau collaborated with other experts to write an American Chemical Society book chapter.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

Researchers achieved the complete assignment of the infrared spectrum of a hydronium-water “magic number” cluster reported in Science in 2004.

A team of researchers developed a simulation approach to identify how atomic structures can affect the phonon transport of energy and information in quantum systems near absolute zero temperatures.

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

Theoretical work shows that an important natural iron source can be described as a nanoscale composite of different, but experimentally indistinguishable, structures.

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

PNNL researchers are studying catalysts that are key to dealing with waste and producing sustainable energy.

Creating films with atomic precision allows researchers moving to the Energy Sciences Center to identify small, but important changes in the materials.

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.