A panel at the National Homeland Security Conference highlighted latest modeling and operational tools aiding response.

Wendy Shaw is a new Fellow of the Royal Society of Chemistry, honored for her leadership role and impacts on the chemical sciences.

Six PNNL projects were selected as part of the Department of Energy’s Funding for Accelerated, Inclusive Research.

PNNL’s Grid Storage Launchpad delivers tomorrow’s energy storage solutions today.

Researchers from Pacific Northwest National Laboratory created and embedded a physics-informed deep neural network that can learn as it processes data.

The Department of Energy’s Vehicle Technologies Office recently issued two awards to researchers at PNNL for their contributions to areas that are crucial for the expansion of electric vehicles.

DOE Basic Energy Sciences 2023 “Poetry of Science Art Contest” aims to educate and inspire; voting for the People’s Choice Award closes September 15.

Summer is for science! PNNL’s interns are diving into science and technology and getting a front-row view of the research and development of a national laboratory.

Venky Prabhakaran joined the editorial board of Scientific Reports, an open-access journal in the Nature portfolio.

At the Nonproliferation, Counterproliferation, and Disarmament Science Gordon Research Conference, researchers from PNNL shared research and scientific approaches for countering diverse threats.

Regional wind data helps utilities save money, plan for windy days.

PNNL energy storage experts express need for continued investment in developing and deploying long-duration energy storage.

The Rapid Assessment of Platform Technologies to Expedite Response project aims to prepare against future pandemics.

A new review describes the insights that may be gained into important electrochemical processes using ion soft landing.

The award was given at the 29th International Conference on Information, Communication and Automation Technologies.

Chun-Long Chen honored for his outstanding contributions in the field of bio-inspired nanomaterials.

Two teams were recognized for technologies to help the International Atomic Energy Agency verify peaceful use of nuclear material.

Four PNNL researchers received highly competitive DOE Early Career Research Program awards, providing five continuous years of funding for their projects.

Zhijie (Jay) Xu will apply his expertise in multiscale modeling to this editorial role.

PNNL researchers present challenges and opportunities for fusing graph neural networks with deep reinforcement learning.