Vienna,
VIC
11 May 2026 - 13 May 2026
Objectives:
The workshop will explore advancements and innovations in the application of High-Performance Computing (HPC) & Machine Learning (ML) in monitoring nuclear explosions across land, ocean, and atmosphere utilizing technologies from the seismic, hydroacoustic, infrasound and radionuclide domains with the support of atmospheric transport modelling.
Agenda
- Full-wave SHI (seismic, infrasound, hydroacoustic) modelling in complex environments
- 3D long-range acoustic propagation modelling
- Generation and use of 3D tomographic velocity models
- Radionuclide detector-based simulations
- Numerical Weather Prediction (NWP) modelling for the atmosphere and ocean
- Simulation of explosions, cavity formation, subsurface gas transport, and prompt atmospheric releases
- Uncertainty quantification and adaptive learning
- Artificial Intelligence/Machine Learning (AI/ML) for:
- Digital twins (DTs)
- Atmospheric transport and radionuclide source localization
- Anomaly detections of atmospheric radioactivity
- Instrument failure detection and data quality assessment
- Signal and event detection, classification, discrimination, and data fusion
- Array processing
- AI tools for code translation to modern architectures and languages
- Implementation in operational settings
- Implementation to assist in IMS station maintenance
- Early applications of quantum computing in nuclear explosion monitoring
SHI HPC methods and algorithms applied to civil and scientific applications
