Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Deep Learning Augmented Topologically-Protected Photocatalysts

Project description

Novel, high-efficiency photocatalysts inspired by artificial intelligence

Harnessing sunlight’s abundant energy through photocatalysis is a long-held dream of humanity. Through photocatalysis, researchers could help store solar energy in clean, recyclable hydrogen gas. Funded by the Marie Skłodowska-Curie Actions programme, the DELATOP project will introduce an innovative approach to boost solar-to-hydrogen conversion efficiency. Using cavity chemistry and topologically protected photonic devices, DELATOP plans to design novel photocatalytic heterojunctions endowed with exceptional photon harvesting capacity. Furthermore, the project will utilise artificial intelligence for reverse engineering to significantly reduce R&D cycles. The outcome will be the first topo-photocatalysts designed by artificial intelligence combining high defect tolerance and extended lifetime of photocarriers.

Objective

Sunlight, as a non-stop power source granted by nature, provides about ten thousand times more energy than humans consume globally. Therefore, its harvesting and conversion to storable energy, such as plants perform in photosynthesis, represents a long-held dream of humanity. With the rapid progress of photocatalysis, humankind now endeavors to split water molecules using sunlight, thus storing solar energy into clean and recyclable hydrogen gas. To date, the efficiency of this conversion is up to 20% but with insufficient stability. In this context, DELATOP represents an effective solution to boost solar-to-hydrogen (StH) efficiency while significantly improving conversion robustness.
Recently, cavity chemistry has arisen as a novel path to control chemical reaction rates in the context of light-matter interactions. Concurrently, photonic devices with topologically protected resonances have demonstrated superior defect tolerance and life-cycle durability. In this regard, DELATOP aims to design novel photocatalytic heterojunctions endowed with exceptional photon harvesting and carrier generation rate. Furthermore, using artificial intelligence (AI) for reverse engineering design, the R&D cycles can be significantly reduced with proper optimizations. As a result, the first AI-designed topo-photocatalysts will be delivered, conjugating high-imperfection tolerance and a super-extended lifetime of photo-carriers (~100 times), i.e. smart management of photons and carriers for the next-generation of green energy technologies.
The project identifies three objectives to reach the final goal: I) Conceive and design novel photonic solutions based on topologically-protected resonances to be applied in the photocatalytic context; II) Deliver the first AI-designed topo-photocatalyst through injecting deep learning neurons into the previous design; III) Fabrication and characterization of topologically protected photocatalytic devices with enhanced StH conversion efficiency.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

See all projects funded under this funding scheme

Call for proposal

(opens in new window) HORIZON-MSCA-2022-PF-01

See all projects funded under this call

Coordinator

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Net EU contribution
€ 172 750,08
Address
VIA MOREGO 30
16163 Genova
Italy
Region
Nord-Ovest Liguria Genova
Activity type
Research Organisations
Links
Total cost
No data