Critical minerals could be sourced from industrial waste at scale thanks to an AI-guided separation workflow developed by researchers at PNNL.

PNNL helps strengthen domestic supply of critical mineral needed for new cutting-edge cancer therapy.

PNNL has named Douglas Mans and Daniel Stephens as associate laboratory directors to lead science and national security strategies.

Graduate student researcher wins best poster awards from the American Ceramic Society.

PNNL recently led a team effort that secured external accreditation for the Office of Radiological Security Radiological Security Awareness and Response Communications Workshop.

Working with DOE and PNNL, Google has created a new badge that will help consumers find highly skilled home energy specialists.

PNNL researchers will deploy advanced AI systems to study how to best secure the future electric grid.

High-Velocity Joining is a new joining technology that could reduce energy use and cost for manufacturers.

PNNL’s Robert Rallo and Nathan Hodas speak to students about the future of AI.

A newly published custom collection of glass formulas for nuclear waste vitrification — developed and validated by PNNL over the past three years — was made possible in that timeframe with AI tools, including a PNNL machine learning model.

An international research team deployed AI-powered computing to solve important chemical structures for energy applications using NVIDIA hardware.

PNNL has chosen three proven leaders to serve in key roles guiding lab research and operations.

PNNL chemist Sarah Saslow received the ACS Rising Star Award for her research supporting environmental cleanup, including work on legacy waste and subsurface contamination.

PNNL cyber defenders are using the Laboratory’s own artificial intelligence research to recognize and address threats quickly.

Margaret Cheung elected to premier scientific society.

PNNL's Building Energy Model AI is an open-source bot that can help energy modelers save time and money.

SenseAI and VaporID have been deployed by multiple industry partners.

PNNL set to create a practical path for near-term hybrid classical-quantum computers with NVIDIA accelerated computing.

An AI program called AtomAI helped PNNL researchers reveal key design principles for protein interfaces with mineral surfaces.

PNNL’s Center for the Remediation of Complex Sites inducted leaders Director David Peeler, Deputy Director Carolyn Pearce, Operations Director Christian Johnson, and advisors with multidisciplinary subsurface research expertise.