PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.
A special issue of the Marine Technology Society Journal, titled “Utilizing Offshore Resources for Renewable Energy Development,” focuses on research and development efforts including those at Pacific Northwest National Laboratory (PNNL).
PNNL researchers say that offshore wind energy can add value to the electric grid, beyond just the power it can produce, if locations and strategies are optimized.
PNNL deployed two research buoys in waters off the West Coast for the first time in deep water, supporting a DOE and Bureau of Ocean Energy Management effort to gather measurements that support offshore wind locations and technologies.
PNNL ocean engineer Alicia Gorton was invited to serve on the advisory board of the Department of Civil, Environmental, and Ocean Engineering at the Stevens Institute of Technology.
By studying discrete functional components of the soil microbiome at high resolution, researchers obtained a more complete picture of soil diversity compared to analysis of the entire soil community.
PNNL scientists Larry Berg, Susannah Burrows, Nicholas Ward, and Yun Qian were named among the most outstanding journal reviewers by the American Geophysical Union.
Six months into a pandemic that has claimed more than 570,000 lives worldwide, scores of PNNL scientists are engaged in dozens of projects in the fight against COVID-19.
Research buoys managed by PNNL underwent a $1.3-million upgrade that included more powerful lidar that reaches heights of today’s taller wind turbines.
PNNL is managing the Data Archive and Portal, which provides the wind research community with secure, timely, easy, and open access to all data brought in from research under DOE’s Atmosphere to Electrons program.
Accurate identification of metabolites, and other small chemicals, in biological and environmental samples has historically fallen short when using traditional methods.
A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.