ADD-TREES Co-Organise Workshop on Uncertainty Quantification Strategies for Multi-Physics Systems and Digital Twins
ADD-TREES Project Lead, Professor Danny Williamson has been instrumental in bringing together world-leading experts for a workshop at the Instititute of Mathematical and Statistical Innovation (iMSi) in Chicago, USA. The workshop brings together experts with applications in a number of different areas, working on emulation, linked emulators, and using these surrogates to assist in the construction and use of digital twins. It offered Professor Williamson an opportunity to demonstrate the research that the ADD-TREES project has been undertaking in tacking the challenges of reaching Net Zero by 2050.
This workshop explored innovations and challenges in understanding computational methods for solving multi-physics models. Digital twins that mimic real-world dynamics can provide support in decision-making. To this end, fast surrogate models must be combined with large, time-consuming simulations, to achieve a desired outcome. Particular interest is in twins that link more than one process-based model and in investigating how to build linked emulators of such systems.
Bringing Multi-Disciplinary Modelling Together, Professor Daniel Williamson
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Professor Williamson spoke about the challenges of bringing together large models into a network at a recent project workshop – providing an opportunity to learn more about this fascinating area of research.
ADD-TREES: Digital Twins and decision support for Net Zero under uncertainty, Professor Daniel Williamson
Hear Professor Williamson speak about the application of the AI techniques into policy facing applications on the ADD-TREES project