Awarded
SBRI FIP Challenge Application
Descriptions
A Pre-commercial Procurement Activity, 1.Accelerating fusion power plant design with next-generation digital tools, To meet Net Zero targets, there is not enough time for traditional Design-Build-Test-Learn (DBTL) approach for fusion power plants. Increasing emphasis will be placed upon emerging innovation from in silico engineering design:, Exascale artificial Intelligence era Digital Thread platform, beyond current Product Lifecycle Management, endures for the lifetime of the product (100 years), low-code, time efficient, scalable, enable and promote automation, enable design integration, Optimise the extraction of information and knowledge from experiment and simulation, Text update 19 May 2021: we have changed the detail below to clarify what we are looking for in applications., data science for experiment and simulation automation and optimisation, decisions based upon all prior data rather than tacit knowledge, dramatically improve extraction of information from data, surrogate models and emulators, improve extrapolation of simulation and empirical data
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CPV Codes
73100000 - Research and experimental development services
73210000 - Research consultancy services
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Possible Competitors
1 Possible Competitors
