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DTSTAMP:20260605T154540Z
LOCATION:Bldg. 6 - Room 003
DTSTART;TZID=Europe/Stockholm:20260629T170000
DTEND;TZID=Europe/Stockholm:20260629T173000
UID:submissions.pasc-conference.org_PASC26_sess115_msa188@linklings.com
SUMMARY:Integrating AI into Trustworthy Workflows for Digital Twins. A Fus
 ion Perspective.
DESCRIPTION:Peter Messmer and Filippo Spiga (NVIDIA Inc.) and John Stone (
 NVIDIA Inc)\n\nAdvances in high-performance computing (HPC) and artificial
  intelligence (AI) are transforming how complex, multidisciplinary science
  problems are addressed. Fusion is one of those domains waiting to be disr
 upted. Historically, theory, engineering and operations were living in dif
 ferent silos, each using their own tools geared towards the corresponding 
 constraints and requirements. Opportunities for AI, or data driven science
  in general, are not confined to each silo, but rather enable bridging the
  individual silos and enabling comprehensive, end-to-end modeling workflow
 s. NVIDIA has built a rich software ecosystem to bridge the gap between fi
 rst-principles physics and AI-driven acceleration. This talk highlights co
 llaborative work done by NVIDIA and its partners worldwide in the area of 
 AI surrogates and Digital Twins applied to fusion use-cases, including the
  collaboration with General Atomics, Commonwealth Fusion Systems (CFS) and
  the UKAEA. All these teams are striving to reduce simulation times from w
 eeks to seconds, enabling scientists to conduct "what-if" scenarios in a s
 ynchronized virtual environment.\n\nDomain: Engineering, Physics, Computat
 ional Methods and Applied Mathematics\n\nSession Chairs: Gilles Fourestey 
 (EPFL) and Filippo Spiga (NVIDIA Inc.)\n\n
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