A team of researchers recently coordinated a series of international workshops aimed at enhancing chemical research security and fostering collaboration among scientists and academic researchers from both countries.

Spatial proteomics enables researchers to link protein measurements to features in the image of a tissue sample, which are lost using standard approaches.

Input from humans helps when deciding whether to trust the recommendations or decisions of a machine-learning system.

PNNL researchers helped design and conduct an international exercise hosted by the Ministry of Finance of Finland to help improve financial sector resilience.

PNNL’s software tool brings together artificial intelligence and satellite imagery to help responders assess damage and take action.

Recovery Simulator and Analysis tool further strengthens PNNL’s short-term resilience planning efforts for Puerto Rico.

Karen Taylor was an invited speaker at the Closing the Knowledge Gaps event and spoke during a panel, titled Bioeconomy Workforce Demands.

New research findings published in Science Advances (November 2022), help explain the progression of Alzheimer-related dementia in each patient. The findings outline a biological classification system that predicts disease severity.

PNNL chemist Ying Zhu was honored as one of the top 40 researchers under the age of 40 in analytical science by The Analytical Scientist.

A new, state-of-the-art training facility in Larnaca, Cyprus provides unique training opportunities for border security officials from partner nations.

PNNL researchers developed a new model to help power system operators and planners better evaluate how grid-forming, inverter-based resources could affect the system stability.

PNNL Hydrogen Safety Panel supports a fundamental hydrogen safety credential deployed through the Center for Hydrogen Safety.

Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.

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

The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.

When training for chemical and biological threats, in-person exercises and drills can be very limited due to the hazardous nature of the agent.

Kristin Burnum-Johnson presented at two virtual events in June on proteome mapping.

Electrical engineer Tom McDermott has been named the winner of a power distribution engineering award.

In the face of the COVID-19 pandemic, PNNL pivoted to online learning approaches to conduct critical national security training across the globe.

A recent edition of the Infrastructure Resilience Research Group Journal featured an article written by PNNL researchers Rob Siefken and Jake Burns about “Design Basis Threat and the Low Threat Environment.”