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- Latest News
  Generative model explores tungsten microstructure under fusion conditions
  A comparison of real SEM tungsten microstructures (left column) with machine learning–generated synthetic microstructures (right) for different values of the model setting parameters. Adjusting the model setting controls how diverse or sharp the synthetic microstructures appear. (Image: ORNL, DOE)
  Researchers have developed a model to generate images that serve as synthetic data close-ups of tungsten surfaces under fusion reactor conditions.
  Tungsten is a top-choice material for plasma-facing components (PFCs) in fusion machines, so understanding tungsten’s performance is critical to the safety and longevity of component designs.
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13th International Conference on Methods and Applications of Radioanalytical Chemistry (MARC XIII)

March 23–28, 2025

Kailua-Kona, HI

About MARC XIII

Since MARC I in 1987, this series of conferences has become the major international forum for discussion of advances in radioanalytical chemistry and its applications, despite the somewhat remote location for many participants. A wide variety of topics are covered in the scientific program including environmental radioactivity measurements, activation analysis, biology and medical applications, radiation detectors and instrumentation, nuclear proliferation prevention and safeguards, education, and mass spectrometry methods for detecting radioactive materials.

General Chair:

Stephen LaMont (Los Alamos National Laboratory)

Program Chair:

Samuel Glover (National Institute for Occupational Safety and Health)