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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Fusion energy: Progress, partnerships, and the path to deployment
Over the past decade, fusion energy has moved decisively from scientific aspiration toward a credible pathway to a new energy technology. Thanks to long-term federal support, we have significantly advanced our fundamental understanding of plasma physics—the behavior of the superheated gases at the heart of fusion devices. This knowledge will enable the creation and control of fusion fuel under conditions required for future power plants. Our progress is exemplified by breakthroughs at the National Ignition Facility and the Joint European Torus.
Technical Session|Sponsored by MCD
Wednesday, June 10, 2020|12:00–2:10PM EDT|8
Alternate Chairs:
Steven P. Hamilton
Madicken Munk (Univ. of Illinois, Urbana-Champaign)
Session Organizer:
Staff Producer:
Rick Michal (American Nuclear Society)
To access the session recording, you must be logged in and registered for the meeting.
Register NowLog In
To access paper attachments, you must be logged in and registered for the meeting.
Assessing the Effectiveness of Acceleration Methods for Deterministic Neutron Transport Solvers
J. S. Rehak (Univ. of California, Berkeley), R. N. Slaybaugh (Univ. of California, Berkeley)
Paper
Stability Analysis of CMFD Acceleration and Linear Prolongation for Weighted Linear Difference Schemes
Rodolfo M. Ferrer (Studsvik Scandpower)
A Hybrid Neutronics Method with Diffusion Synthetic Acceleration for k-eigenvalue Problem
Jiahao Chen (NC State Univ.), Jason Hou (NC State Univ.)
Hybrid Parallel Computing of Solving 3D Multi-group Neutron Diffusion Equation via Multi-level CMFD Acceleration
Shunjiang Tao (Purdue Univ.), Yunlin Xu (Purdue Univ.)
To join the conversation, you must be logged in and registered for the meeting.