ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
Technical Session|Sponsored by MCD
Wednesday, November 16, 2022|10:00–11:45AM MST|Desert Willow
Session Chair:
Abdullah Weiss (NIST)
Alternate Chair:
Brian C. Kiedrowski
Session Organizer:
Sebastian Schunert (INL)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
High-to-Low Multi-Physics Modeling and Uncertainty Propagation Using NEAMS Tools
10:00–10:20AM MST
Joseph Fustero (NCSU), Walker Powell (NCSU), Kan Ni (NCSU), Nilay Atul Kulkarni (NCSU), Gregory K. Delipei (NCSU), David Holler (NCSU), Jason Hou (NCSU), Marco Delchini (ORNL), Ralph Smith (NCSU), Maria Avramova (NCSU)
Paper
Why is Uncertainty Quantification Important for Machine Learning Models?
10:20–10:40AM MST
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Multifidelity Uncertainty Quantification in Stochastic Media Transport Problems
10:40–11:00AM MST
Gianluca Geraci (Sandia), Aaron J. Olson (Sandia)
A Sampling-Based Approach to Solve Sobol' Indices Using Variance Deconvolution for Arbitrary Uncertainty Distributions
11:00–11:20AM MST
Aaron J. Olson (Sandia), Kayla B. Clements (Oregon State), James M. Petticrew (Univ. Sheffield)
To join the conversation, you must be logged in and registered for the meeting.
