PNNL's E-COMP initiative is helping unleash American energy innovation with advanced theories, models, and software tools to better operate power systems that rely heavily on high-speed power electronic control.

Adom Cooper was selected for the inaugural cohort of the Black Professionals in International Affairs at the Colin Powell Leadership Institute.

Madalina Man, an international compliance analyst, recently lent her legal expertise to an International Atomic Energy Agency International Physical Protection Advisory Service Mission in Zambia.

Chanel Chauvet-Maldonado, nonproliferation policy and law analyst, completed the Organization for Economic Co-operation and Development Nuclear Energy Agency International School of Nuclear Law program.

Kathleen Doty recently shared legal insight on the challenge of space debris in her presentation “Regulating Space Junk” as part of the University of Georgia School of Law’s Spring 2023 Space Law Speaker Series.

PNNL is the newest member of the CONsortium on Nuclear sECurity Technologies (CONNECT).

Kate Doty was invited to lend her expertise as guest editor for the International Journal of Nuclear Security on a special issue on women in nuclear security.

Nonproliferation Policy and Law Analyst, Chanel Chauvet, served as the legal expert in the International Atomic Energy Agency's effort to update Uzbekistan's Integrated Nuclear Security Support Plan.

John VerWey, East Asia national security advisor, delivered remarks on competition in global supply chains at a U.S.-China Economic Security Review Commission hearing in June 2022.

PNNL engages in expert panels to address emerging policy issues surrounding deep space exploration; forms new partnership with University of Washington Space Policy and Research Center.

PNNL is lending analytics expertise to a new first-of-its-kind electric-vehicle carsharing program being launched in Hood River, Oregon.

A webapp developed by PNNL in collaboration with the University of Washington to help drive efficiencies for urban delivery drivers is now in the prototype stage and ready for testing.

Using public data from the entire 1,500-square-mile Los Angeles metropolitan area, PNNL researchers reduced the time needed to create a traffic congestion model by an order of magnitude, from hours to minutes.

Researchers at PNNL are contributing artificial intelligence, machine learning, and app development expertise to a U of W project that will ease challenges with urban freight delivery. The project will provide delivery drivers with a tool