J. Hollocombe
A5022136019- Magnetic confinement fusion research
- Superconducting Materials and Applications
- Fusion materials and technologies
- Ionosphere and magnetosphere dynamics
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Industrial Technology and Control Systems
- Power Systems and Technologies
- Data Quality and Management
- Nuclear reactor physics and engineering
- Statistical Methods and Inference
- Scientific Computing and Data Management
- Atomic and Subatomic Physics Research
- Research Data Management Practices
- Wireless Sensor Networks for Data Analysis
United Kingdom Atomic Energy Authority
2017-2023
Culham Centre for Fusion Energy
2018-2021
Culham Science Centre
2017-2020
Numerical Method (China)
2017
Max Planck Society
2017
Max Planck Institute for Plasma Physics
2017
Disruption prediction and avoidance is a critical need for next-step tokamaks, such as ITER. Event Characterization Forecasting (DECAF) research fully automates analysis of tokamak data to determine chains events that lead disruptions forecast their evolution allowing sufficient time mitigation or complete the disruption. event related local rotating global magnetohydrodynamic (MHD) modes vertical instability are examined with warnings issued many off-normal physics events, including density...
Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, use of, data. Rapidly evolving data, such as data streams changing during a outbreak, are particularly challenging. Data management is further complicated by being imprecisely identified when used. Public trust in policy decisions resulting from easily damaged often low, with cynicism arising where claims ‘following science’ made without accompanying evidence. Tracing provenance...
Digital twin techniques enhance traditional engineering analysis workflows of existing systems when a realistic evaluation component under complex operating conditions is required. During preparation, commissioning and phases, components can be virtually tested by using validated numerical models, operational expertise, experimental databases. Three complementary applications have been developed this approach. The models used for the divertor tiles are based on continuum mechanics...
New results from MAST are presented that focus on validating models in order to extrapolate future devices. Measurements during start-up experiments have shown how the bulk ion temperature rise scales with square of reconnecting field. During current ramp-up, not able correctly predict diffusion. Experiments been performed looking at edge and core turbulence. At edge, detailed studies revealed filament characteristics responsible for determining near far scrape off layer density profiles. In...
The ITER Integrated Modelling and Analysis System (IMAS) has been adopted by the EUROfusion Consortium as a platform to facilitate analysis verification of data from multiple tokamaks for integration physics codes validation models fusion plasma simulations. Data mapping tools have developed translate tokamaks' native format into IMAS. required adoption standard coordinates, conventions on direction vectors, signs fields, harmonization units. mapped verified running integrated simulations...
Integrated modeling (IM) of present experiments and future tokamak reactors requires the provision computational resources numerical tools capable simulating multiscale spatial phenomena as well fast transient events relatively slow plasma evolution within a reasonably short time. Recent progress in implementation new for fusion applications Europe based on modern supercomputer technologies (supercomputer MARCONI-FUSION), optimization speedup EU fusion-related first-principle codes,...