Project description
Industrial simulation for faster innovation
In the global race to deliver next-generation products, time and resource efficiency are the ultimate competitive advantages. However, engineering innovation is often slowed down by the time required for complex simulations. With this in mind, the EIC-funded SpeedAPP aims to address this challenge by accelerating the numerical solving of complex partial differential equations that underpin engineering design. The solution combines reduced order modelling with cutting-edge neural and graph neural operators to deliver accurate results up to 250 times faster than conventional methods such as finite element analysis. By enabling near real-time simulations, SpeedAPP has the potential to shorten design cycles, cut material and energy use and reduce costs. The project’s goal is to scale the technology and prepare for commercial deployment.
Objective
New product development is crucial for companies to maintain a competitive edge. Over the next 5 years, one-third of revenues in industries in sectors like automotive, energy, aerospace, and manufacturing is forecasted to come from new products, translating to €30 trillion in value. At the core of product development is numerically solving complex partial differential equations (PDEs) for heat transfer, elasticity, fluid flow. etc. While established methods such as finite element analysis (FEA) offer high precision, their computational cost rises rapidly with problem complexity.
The SpeedAPP innovation is a result of the ARGOS project by SISSA, from which FAST Computing spun off. SpeedAPP harnesses reduced order modelling (ROM) and neural operators to accelerate the simulation process, while maintaining high accuracy level. Neural operators enable real-time prediction of solutions by directly mapping initial and boundary conditions to the desired output fields, drastically reduces computational costs. SpeedAPP thus provides a 100x to 250x speedup compared to traditional numerical simulation methods, such as FEA, which are still widely used across industries.
Compared to other ROM and neural operator solutions, SpeedAPP’s novelty lies in our graph neural operators (GNOs), which are highly generalizable. The generalizability is enabled by our breakthrough approach of a fully Bayesian, scalable, and accurate autoregressive model and message passing.
Through PoC validations with several industrial partners, SpeedAPP showed the potential for 60% shorter product design cycles, 20-25% reduction in material usage and product costs, and manufacturing processes with 20% less energy use. EIC Transition support will enable us to bring our impactful solution closer to market. In this project we will advance the technology’s maturity, validate the business model, and engage additional potential customers and channel partners in preparation for commercialization.
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Keywords
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-TRANSITIONOPEN
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34121 Trieste
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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