Culminating 10 years of study, researchers at PNNL’s Marine and Coastal Research Laboratory developed a new predictive framework for estuarine–tidal river research and management.

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.

PNNL biologists have developed a more efficient way to estimate salmon survival through dams that uses solid science but saves over 42 percent of the cost.

A PNNL research team compared two types of pumped storage hydropower (open and closed loop) to identify potential environmental impacts.

PNNL scientists have created an improved metal-organic framework (MOF) for adsorption cooling, that performs at least 40 percent better than its predecessors.

Their consistency and predictability makes tidal energy attractive, not only as a source of electricity but, potentially, as a mechanism to provide reliability and resilience to regional or local power grids.

As author of her first publication, PNNL bioinformaticist Isabelle O’Bryon developed the first forensic proteomics method to more quickly detect ricin, a toxin often crudely made in home laboratories that can kill in trace amounts.

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.

A PNNL developed e-training helps chemists internalize the Global Chemical Code of Ethics' ideals and practice speaking up when others don't.

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.

PNNL study evaluated "tunable" lighting and its effects on sleep at study in a California nursing home. Tunable refers to the ability to adjust LED light output and the warmth or coolness of the light color.

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

PNNL researchers and professional staff led discussions ranging from biothreats and climate change to science careers at the 2020 annual meeting of the American Association for the Advancement of Science, held this year in Seattle.

PNNL's Sensor Fish were deployed at Ice Harbor Dam to collect data from a new turbine. The data indicates the design changes are making travel through the dam less arduous for fish.

PNNL will provide technical support to finalists in the Incubate stage and to Grand Prize Winners following the Pitch contest stage of the Fish Protection Prize competition, which is now accepting submissions.

A new book by PNNL biochemist Erick Merkley details forensic proteomics, a technique that directly analyzes proteins in unknown samples, in pursuit of making proteomics a widespread forensic method when DNA is missing or ambiguous.

Researchers have identified two processes responsible for fracturing rock at lower pressures for geothermal energy production using PNNL’s fracturing fluid, StimuFrac™.

The world’s largest scientific society honored Sue B. Clark, a PNNL and WSU chemist, for contributions toward resolving our legacy of radioactive waste, advancing nuclear safeguards, and developing landmark nuclear research capabilities.

PNNL’s Intelligent Load Control technology manages and adjusts electricity use in buildings when there’s peak demand on the power grid.