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News

Electron Microscopy in the Age of Automation

PNNL’s data-infused approach to electron microscopes’ use in scientific experimentation will help researchers and industry interpret large data streams and drive down costs.

Page

Sustainable Remediation and Decommissioning in Practice

In collaboration with the International Atomic Energy Agency, this discussion explores how to incorporate sustainable outcomes into the planning phases of environmental remediation and decommissioning projects.

Page

RemPlex Seminar: Chalk River Legacy Site Management

An overview of Chalk River Laboratories’ experience in addressing legacy site liability within a regulated nuclear environment. The speakers shared current methodologies, lessons learned, and ongoing efforts. Seminar video is available.

Event

PNNL @ WM Symposia 2022

Pacific Northwest National Laboratory researchers present their latest findings on radioactive waste management at the WM Symposia 2022.

Facility/Instrument

318 Building

Expertise in the 318 Building—the Radiological Exposures and Metrology (REM) Laboratory—supports health physics, radiation dosimetry, irradiation research design, Monte Carlo modeling, radiation biology, engineering, and radiography.

News

PNNL Physics Research Makes Scientific Reports Top 100 Collection

PNNL research exploring tungsten heavy alloys for use in advanced nuclear fusion reactors makes Scientific Reports Top 100 Collection.

News

Metal Alloys to Support Nuclear Fusion Energy

Tungsten heavy alloys show promise for nuclear fusion energy development, according to new research conducted at PNNL.

News

PNNL Scientists Leverage AI to Optimize Glass Formulas for Liquid Radioactive Waste

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.

Page

PNNL-Sequim

The PNNL-Sequim campus, in Sequim, Washington, houses the only marine research facilities in the Department of Energy complex.

Publication

Prediction of Grain Structure after Thermomechanical Processing of U-10Mo Alloy using Sensitivity Analysis and Machine Learning Surrogate Model

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