Excellent Science INNOVATION
Machine Learning Methods for Computational Fluid Dynamics (CFD) Data
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Market Maturity: Tech Ready
These are innovations that are progressing on technology development process (e.g. pilots, prototypes, demonstration). Learn more
Market Creation Potential
This innovation was assessed by the JRC’s Market Creation Potential indicator framework as having a Noteworthy” level of Market Creation Potential. Only innovations that are showing multiple signals of market creation potential are assigned a value under this indicator system. Learn more
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
  • Scale-up market opportunities
Location of Key Innovators developing this innovation
Key Innovators
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
MUNCHEN, DE
Higher Education Institute / Research Centre
KUNGLIGA TEKNISKA HOEGSKOLAN
STOCKHOLM, SE
Higher Education Institute / Research Centre
UN Sustainable Development Goals(SDG)
This innovation contributes to the following SDG(s)
SUSTAINABLE DEVELOPMENT GOAL 9
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

The UN explains: "Investments in infrastructure – transport, irrigation, energy and information and communication technology – are crucial to achieving sustainable development and empowering communities in many countries. It has long been recognized that growth in productivity and incomes, and improvements in health and education outcomes require investment in infrastructure."

The EU-funded Research Project
This innovation was developed under the Horizon 2020 project EXCELLERAT with an end date of 30/11/2021
Description of Project EXCELLERAT
Engineering applications will be among the first exploiting exascale, not only in academia but also industry. In fact, the industrial engineering field is *the* industrial field with the highest exascale potential, thus EXCELLERAT brings together the necessary European expertise to establish a Centre of Excellence in Engineering with a broad service portfolio, paving the way for the evolution towards EXASCALE. All within the frame of the European HPC Strategy realization just pushed forward with the activities on the EuroHPC Joint Undertaking. To fulfil its mission, EXCELLERAT will base on six carefully chosen reference applications (Nek5000, Alya, AVBP, Fluidity (deprecated, replaced with TPLS), FEniCS, Flucs), which were analysed on their potential to support the aim to achieve EXASCALE performance in HPC for Engineering and thus to become candidates to be executed on the Exascale Demonstrators, Pre-Exascale Systems and Exascale Machines . All the facets of such a centre are addressed by EXCELLERAT, from ""non-pure-technical"" services such as access to knowledge or networking up to technical services as e.g. Co-Design, Scalability enhancement or Code porting to new (Exa)Hardware. As the consortium contains key players in HPC, HPDA or Knowledge Transfer and having for all reference applications the developers on board, impact (e.g. awareness creation but also feedback into the code development itself) is guaranteed. The scientific excellence of the EXCELLERAT consortium enables evolution, optimization, scaling and porting of applications towards disruptive technologies and increases Europe´s competiveness in engineering. Within the frame of the project, EXCELLERAT will prove the applicability of the results to other HPC engineering applications then the six chosen. Thus (but not only for that purpose), EXCELLERAT will extend the recipients of its developments beyond the consortium and use the tool of interest groups to integrate external stakeholders of its value network into its evolution.

Innnovation Radar's analysis of this innovation is based on data collected on 13/07/2020.