Staff at PNNL recently completed a report highlighting commercial products enabled through projects funded by the Department of Energy’s Building Technologies Office.

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

Findings show method to better prepare human lung tissue for study; it represents the latest mass spectrometry-based omics advances.

The Simple Building Calculator, developed at PNNL, meets a need for a quick, interactive, and economic method to evaluate energy use—and potential savings from efficiency measures—in simple commercial buildings.

The Joint Appointment program at PNNL is one of the most diverse among other U.S. national laboratories, involving nearly 60 universities and research institutions in the United States and abroad.

PNNL and Georgia Tech launch a joint institute focused on accelerating security for the critical infrastructure community.

Advancing the science of radiation, especially among students at minority-serving institutions, is the goal of one of the Department of Energy’s newest consortia.

PNNL gathered researchers from eight national laboratories plus the U.S. Department of Energy (DOE) to share ideas and build synergy at the Energy Equity and Environmental Justice Summit.

PNNL joint appointee Auroop Ganguly uses data science to study the impacts of climate change.

PNNL research, featured on the cover of two science journals, describes advancements in using Raman spectrometry for Hanford Site nuclear waste remediation.

Proteins from “auxiliary” genes in soil viruses play a role in the carbon cycle and climate, scientists have found.

PNNL experts in nuclear forensics helped lead laboratories around the world through a rigorous test involving nuclear materials.

A process developed at PNNL that converts biomass and waste into a chemical intermediate or into gasoline, diesel, and jet fuel is available for commercial licensing.

Eight Office of Science Graduate Student Research join PNNL.

PNNL offers six distinct pathways for deploying place-based renewable energy infrastructure at scale.

New research simulates power demand, supply, and cost in a hotter, drier climate.

Researchers use machine learning to speed up the analysis of aerosol datasets from mass spectrometry.