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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Nuclear Science and Engineering
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Latest News
NRC looks to leverage previous approvals for large LWRs
During this time of resurging interest in nuclear power, many conversations have centered on one fundamental problem: Electricity is needed now, but nuclear projects (in recent decades) have taken many years to get permitted and built.
In the past few years, a bevy of new strategies have been pursued to fix this problem. Workforce programs that seek to laterally transition skilled people from other industries, plans to reuse the transmission infrastructure at shuttered coal sites, efforts to restart plants like Palisades or Duane Arnold, new reactor designs that build on the legacy of research done in the early days of atomic power—all of these plans share a common throughline: leveraging work already done instead of starting over from square one to get new plants designed and built.
Technical Session|Panel|Sponsored by RRSD
Wednesday, June 14, 2023|8:00–9:45AM EDT|Marriott 9
Session Chair:
Young Soo Park
Alternate Chair:
Adam J. Carroll
Session Organizer:
Recently there are active developments in digital twin technologies across multiple sectors of the nuclear industry for optimized design and operation. At the same time, robotics and remote systems technologies have also gone though digital transformations with integration of a multitude of emerging digital technologies such as advanced sensors, telerobotics, modeling and simulation, virtual-/augmented-reality, IT, and big data. As a result, advanced robotics solutions can now be developed cheaper, faster, and with enhanced intelligence and distributed control. There is a great opportunity, by integrating robotics and nuclear digital twins, to further enhance performance and viability for broader applications in the nuclear industry. The objective of this panel session is to bring together the opinion leaders in broad sectors of the nuclear industry to share their experiences and visions for robotic digital twin technologies for applications in the nuclear industry.
Anthony Abrahao
Florida International Univ.
Brian Kast
Sandia
Dongsuk Ryu
KAERI
Paul Baniqued
Univ. Manchester
Christian Pilon
Atkins
Young Park
ANL
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