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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Fusion Science and Technology
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.
2026
Andrew T. Nelson
2025
Todd Allen
2024
M. Grace Burke
2023
David Andersson
2022
James F. Stubbins
2021
Robin William Grimes
2020
Rudolph JohannesMaria (Rudy) Konings
2019
Yutai Katoh
2018
Dr. Joseph Y.R. Rashid
2017
Prof. Gary S. Was
2016
Brian Wirth
2015
Arthur T. Motta
2014
Tatsuo Shikama
2012
Lance L. Snead
2010
Theodore M. Besmann
2009
Louis K. Mansur
2008
Robert E. Einziger
2007
Steven J. Zinkle
2006
Donald R. Orlander
2005
Everett E. Bloom
2004
J. Stephen Herring
2002
Gerard L. Hofman
2001
James J. Laidler
2000
Gary H. Rinehart
1998
G. Robert Odette
1997
James S. Tulenko
1996
Ronald B. Adamson
1995
Ersel A. Evans
1994
Leon C. Walters
1993
A. Burtron Johnson, Jr.K. Linga Murty
